Produits et services

Downloadable computer software for use in personal and business finance, financial management, accounting, tax preparation and planning and filing; downloadable computer software for use in professional tax practice management; downloadable computer software for use in customer relationship management, inventory management, business operations and operations management; downloadable computer software and hardware for use in transaction processing, retail vending, retail checkout and receipt printing, all in the field of point of sale transactions and retail management; cash drawers; computer photo and document printers; point of sale receipt printers and terminals; credit card and debit card readers and scanners; bar code readers and scanners; credit card and transaction processing terminals and point of sale computer hardware; physical inventory scanners (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); price tag printers (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); electronic personal identification number PIN pads with integrated card swipe function; electronic equipment for point-of-sales (POS) systems, namely, electronic point-of-sale pole display monitors; magnets; downloadable computer software for credit card invoicing and credit card payment processing; downloadable computer software and hardware for monitoring, managing, and conducting retail point-of-sale transactions and consumer automated self-checkout services; electronic, digital and handheld devices and associated downloadable software for managing and conducting automated retail sales (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); downloadable computer software for managing automated retail sales; downloadable computer software for conducting automated retail sales; downloadable computer software and hardware for conducting mobile point of sale transactions; downloadable computer software for use in controlling vending machines; computer software for use in internet of things applications and inventory management; downloadable computer software for database and data management, estimating, job costing, employee time tracking, project management; downloadable computer software for time management; downloadable computer software to track time worked by employees and subcontractors; downloadable computer software for use in the electronic exchange of accounting, financial, customer, contact, product and business data; downloadable business management software for use in database management and electronic storage of data in a variety of industries, namely, real estate and property management, automotive service and repair management, construction management, health care practice management, law firm management, non-profit and public sector organization management, retail and restaurant management, and travel services management and instructional manuals sold as a unit; downloadable computer software for use in distributing, installing and updating other applications; audio speakers; MP3 audio speakers; portable stereo audio speakers; acoustic stereo loud speakers and wireless speakers; stereo headphones; ear buds; noise cancellation headphones; USB light systems comprising of selfie ring lights for smartphones and USB cable; electronic docking stations; USB adaptors; USB hubs; computer mice; mouse pads; solar battery chargers; battery charging apparatus for electronic devices; portable batteries for consumer use; portable electrical outlets; blank flash drives; downloadable open source software, namely, software development tools and software for use in developing user interfaces; downloadable open-source software for use in deploying, scaling, and managing containerized software applications; downloadable open-source software for use in software change management and software release management; downloadable open source software for use in web services testing; downloadable open source software for use in designing, creating, connecting and integrating software applications; downloadable computer software to allow users to access, interact and interoperate with the internet of things, including networks of physical objects and machines, including smart watches, kitchen appliances and household appliances, business machines, warehouse hardware devices, business inventory items, and residential heating, plumbing, air conditioning, and electrical systems; downloadable computer software that enables communication between business and financial professionals and their clients; downloadable computer software to import contacts and business data from other electronic services and software; downloadable computer software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; downloadable computer software to manage marketing campaigns, customer lists, e-mail and printable forms, and to track customer interactions; downloadable computer software for controlling access to financial and business information, data and documents; downloadable computer software to create, customize, print, export, and e-mail documents and reports; downloadable computer software to analyze the financial status of businesses and industries; downloadable computer software for synchronizing data among computers and mobile devices; downloadable computer software for database management, data aggregation, data reporting, and data transmission; downloadable computer software for online backup of electronic files; downloadable computer software used for multiple-user online communication, real-time collaboration and document sharing; downloadable computer software that enables multiple users to screen share and communicate for use in providing remote business and financial consulting and advice; downloadable computer software that enables users to capture, upload, download, store, organize, view, create, edit, encrypt, send and share documents, information, data, images, photographs, and electronic messages; downloadable personal and organizational productivity software to measure, record, track, analyze, and manage data for the purpose of improving personal and business productivity; downloadable computer software for use in the management of payroll; downloadable computer software for administering employee payroll; downloadable computer software for use in the management of benefit plans, insurance plans, retirement plans, unemployment insurance plans, and pre-paid health care plans; downloadable computer software for creating, customizing, and managing invoices, recording payments, and issuing receipts; downloadable computer software for use in organizing, servicing and tracking sales, collections and receivables data; downloadable computer software for tracking income, expenses, sales, and profitability by business location, department, type of business, or other user set field; downloadable computer software to calculate and charge sales tax and to create reports to pay sales tax to appropriate tax agencies; downloadable computer software for managing online bank accounts; downloadable computer software to create, customize, print, export, and e-mail purchase orders; downloadable computer software to create and manage budgets; downloadable computer software to create price quote estimates and transfer price quote estimates to invoices; downloadable computer software to automate creation of invoices; downloadable computer software to create, customize, print, export, and e-mail financial reports, business reports, balance sheets, profit and loss statements, cash flow statements, and taxable sales reports; downloadable computer software to create, print, and track checks and purchase orders; downloadable computer software to track sales, expenses, and payments; downloadable computer software for tracking charitable donations and calculating charitable tax deductions and fair market value of goods and services; downloadable computer software for customers to directly deposit tax refunds into accounts at financial institutions; downloadable computer software to pre-populate tax forms with tax data from online banking accounts; downloadable computer software for use in database management and use in electronic storage of data; downloadable computer software for event ticketing and seating; downloadable computer software for event wayfinding; downloadable computer software for event parking; downloadable computer software for promoting entertainment and sporting events and product and service discounts to event attendees; downloadable computer software for enterprise resource planning. Business administration services in the field of programs to promote community development; promoting business, economic, and community development throughout the continental United States; promoting economic development in underprivileged, underserved and disadvantaged regions throughout the continental United States; business collaboration services, namely, consulting with public, private and philanthropic sectors for purposes of job creation, economic development, and creating opportunities for underserved markets; business collaboration services, namely, arranging commercial partnerships to promote access to education, career training and careers in traditionally underserved communities; organizing and developing employment development projects that aim to improve job opportunities for underprivileged communities (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing employment counseling information on how to successfully transition jobs; promoting public awareness of the interests of economically-distressed, underserved and disadvantaged communities; public policy business research and consultancy services; promoting public awareness of sustainability, hunger, food waste and environmental issues and initiatives; promoting public awareness of sustainability in the supply chain; charitable services, namely, providing volunteer services to nonprofit organizations in a wide variety of fields; providing business management services, tax preparation and filing services to non-profit organizations, individuals and small businesses; organization of exhibits and events for commercial purposes for retailers, dealers and distributors; providing business advice and information in the field of consumer experience development and design; business services, namely, matching small businesses seeking capital with lenders, investors and other sources of capital; business management services; business administration; providing office functions; providing business information and advice via computer networks, including global computer networks and online services; providing an online database featuring the services of business and financial professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); business services, namely, assisting individuals and entities offering professional services to find and engage with clients seeking those services; providing an online portal for use by professional services providers and individuals to match work opportunities with professional expertise (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); business services, namely, providing a website featuring an online database for professionals seeking work and individuals and companies seeking the services of professionals, and performing analysis to match the background, skills and capabilities of professionals with the needs of those seeking the services of such professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); advertising the goods and services of others via a web site on a global computer network; providing business consultation and business information, namely, tracking, analyzing and generating reports for others regarding the operation, use and users of an online marketplace; providing a website featuring recommendations, ratings and reviews posted by professional services providers and their clients regarding work performed and the capabilities and performance of professionals who perform work (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring ratings, reviews and recommendations regarding the skills and capabilities of business and financial professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); online business intermediary services relating to the matching of various professionals with clients; matching small business owners and consumers with professionals in the fields of accounting, finance, financial management, financial planning, investments and tax; providing an online searchable database of professionals with the purpose of matching professionals with small business owners and consumers (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); business consultation regarding compliance with regulations; energy management services, namely, providing a service that allows customers to purchase energy, namely, renewable energy and electricity, at discounted and stable prices (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); conducting and administering a program enabling participating energy and electricity customers to obtain discounts on renewable energy (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing consumer and public policy information in the field of renewable energy initiatives (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); provision of information, advice and consultancy in relation to energy efficiency (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); energy usage management information services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); online business directories featuring financial advisors, accountants, bookkeepers and third-party vendors; online ordering services in the field of financial and accounting products and services; operating online marketplaces for sellers of goods and services; dissemination of advertising for others via the Internet; association and membership services, namely, promoting the interests of, and providing business referral, marketing and business management services to member accounting and business management professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); arranging and conducting trade shows in the fields of finance, payroll and tax preparation and processing, accounting and business management; providing business management information on a wide variety of topics via electronic means; association and membership services, namely, promoting the interests of, and providing business referral and marketing to member software developers (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); online directories featuring software developers (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); arranging and conducting trade shows in the field of software development; database management services by electronic means; online retail store services featuring computer hardware, computer peripherals, computer software, desktop software, cash drawers, electronic cash drawers, computer printers, receipt printer, tag printers, point of sale printers and terminals, credit card and debit card readers and scanners, bar code readers and scanners, credit card and transaction processing terminals and computer hardware, accounting forms, blank checks, business cards, business forms, catalogs in the field of finance and accounting, check holders, clothing, beverageware, toys, sporting goods, deposit slips, direct deposit forms, plastic bags for making bank deposits, file boxes for storage of business and personal checks and records, tax forms, instruction manuals in the field of personal and business financial management, user manuals in the fields of computer software, and point-of-sale and transaction processing terminals; in-store retail store services featuring computer hardware, computer peripherals, computer software, desktop software, cash drawers, electronic cash drawers, computer printers, receipt printer, tag printers, point of sale printers and terminals, credit card and debit card readers and scanners, bar code readers and scanners, credit card and transaction processing terminals and computer hardware, accounting forms, blank checks, business cards, business forms, catalogs in the field of finance and accounting, check holders, clothing, beverageware, toys, sporting goods, deposit slips, direct deposit forms, plastic bags for making bank deposits, file boxes for storage of business and personal checks and records, tax forms, instruction manuals in the field of personal and business financial management, user manuals in the fields of computer software, and point-of-sale and transaction processing terminals; retail store services featuring computer hardware, computer peripherals, computer software, desktop software, cash drawers, electronic cash drawers, computer printers, receipt printer, tag printers, point of sale printers and terminals, credit card and debit card readers and scanners, bar code readers and scanners, credit card and transaction processing terminals and computer hardware, accounting forms, blank checks, business cards, business forms, catalogs in the field of finance and accounting, check holders, clothing, beverageware, toys, sporting goods, deposit slips, direct deposit forms, plastic bags for making bank deposits, file boxes for storage of business and personal checks and records, tax forms, instruction manuals in the field of personal and business financial management, user manuals in the fields of computer software, and point-of-sale and transaction processing terminals; administration of business payroll and payroll preparation services for others; tax preparation services; filing of tax assessments; promoting public awareness of the importance of tax preparation and filing services for others; business invoicing services; business administration services; advertising, marketing and promotion services; promoting sports competitions and events of others; arranging and conducting entertainment and sporting events and special events for business purposes (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); concession stand services featuring beverages, food, clothing and souvenirs; promoting business, community, philanthropic and entertainment, and sporting events for others; retail store services featuring food, beverage, clothing, collectibles, memorabilia, and souvenirs; supply chain management services; employee and university recruitment, namely, personnel recruitment; public relation services, namely, public relations consultancy; payroll administration, preparation, processing, and management services; payroll services, namely, verification of employee social security numbers and company identification numbers with federal and state agencies; payroll services, namely, setting up company direct deposit accounts and employee direct deposit accounts for payroll payments; payroll planning, advice, information and consultancy services; creating and distributing Form W-2 wage and tax statements; providing business management information on a wide variety of topics; providing business management consulting services; providing tax consultation services; providing tax information; dissemination of advertising for others via computer and communication networks; arranging and conducting trade shows in the fields of accounting and business management, payroll processing, tax preparation and processing; association and membership services, namely, promoting the interests of, and providing business management and marketing assistance to, member software developers and business referrals in the field of software development (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); online business directories featuring software developers and software applications; arranging and conducting trade shows in the field of software development; providing business data analysis and database management services; database management services by electronic means; providing information and consultation in the field of data management; providing information in the nature of news, business and marketing advice, and expert opinions for professionals in the fields of accounting, small business management, tax preparation, tax filing and tax planning; providing tracking services of commercial transactions of others via computer and communication networks; providing business management consultation services for professionals in the fields of accounting, finance, financial planning, tax preparation and tax planning via computer and communications networks; providing information, advice, and analysis for professionals in the fields of business management via computer and communications networks; association membership programs for business professionals, namely, promoting the interests of business consultants, accounting professionals, tax professionals, and financial professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing referrals, namely, business consultant, accounting professional, and tax professional referrals; enabling data management, namely, providing information and consulting in the field of data management and business data analysis; business data sharing services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); consultation, advisory, analysis, and assistance services with regard to personal accounting and taxes (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); consultation and advisory services in the fields of personal accounting and taxes, including tax planning and tax management (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing tax management information and consultation (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing information concerning personal accounting, taxes, tax planning and tax management (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing tax analysis and calculation in the nature of personal accounting and assessment and planning services; providing advice, analysis, news, and opinions to consumers in the fields of tax planning (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing tax calculation and planning services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); consultation, advisory, analysis, and assistance services with regard to aggregating wage, interest, dividend, and other income and expense information from a wide variety of sources for tax related purposes (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); connecting qualified service providers with consumers, namely, connecting consumers to offers that provide lower interest rates and fees (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); connecting qualified service providers with consumers, namely, connecting consumers to offers for financial services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing recommendations of service providers to consumers for commercial purposes, namely, providing automated recommendations on choosing financial services; providing automated recommendations on choosing financial services, namely, providing a website for users with specific informed recommendations of specific consumer financial services validated by the automated analysis of user provided data (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); credit monitoring services, namely, monitoring consumer credit reports and providing an alert to any changes therein for business purposes; consultation, advisory, and assessment services with regard to accounting and taxes, namely, accounting consultation, accounting advisory services, tax consultation, tax advisory services, and tax assessment (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); consultation and advisory services in the fields of accounting and taxes, namely, tax calculation, tax planning, tax return preparation, tax refund, tax management, preparation of tax forms, and tax return filing (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing tax and tax preparation management information and consultation (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing information concerning accounting, taxes, tax calculation, tax planning, tax return preparation, tax refunds, tax management, preparation of tax forms, and tax returns filing (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing tax analysis and calculation in the nature of accounting and assessment, planning, preparation, and filing services; providing advice, analysis, news, and opinions to consumers in the fields of tax return preparation and tax planning; providing tax calculation, planning, preparation, and filing services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); electronic tax filing services; consultation, advisory, analysis, and assistance services with regard to organizing, tracking and reporting tax deductible expenses (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); business consulting services; facilitating the exchange and sale of products and services via computer and communication networks; facilitating the exchange and sale of services and products of third parties via computer and communication networks; market research; marketing services; promoting the goods and services of others via computer and communication networks; business opportunity promotion services; providing online business information and statistics to compare wages; providing online business information in the field of wages; providing online information in the nature of percentile distributions of hourly wages and annual wages for jobs at given geographical locations (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing online business information in the field of wages for employers to make informed pay decisions; providing on-line news and reporting in the field of economic analysis, regional and national employment analysis, and wage and compensation analysis (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing business information, data, and research in the fields of regional and national economic analysis, employment trends, wages, compensation; business information services; statistical analysis and reporting services for business purposes; economic forecasting and analysis services; business information services, namely, gathering, analyzing, and reporting data on small business revenue; small business economic activity measurement and forecasting services; business information services, namely, providing on-line news and reporting in the fields of economic and business revenue forecasting and analysis; business information services, namely, providing information and analysis in the fields of economic activity, business revenue trends, and private sector growth and decline; regional and national employment forecasting services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); wage and compensation forecasting and analysis services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing on-line news and reporting in the field of regional and national employment forecasting and analysis, and wage and compensation forecasting and analysis (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); organizing exhibitions for business purposes; organizing exhibitions for business events; hosting of tradeshows for others; payroll tax notification, preparation services; providing information in the nature of business and marketing advice for professionals in the fields of finance and financial planning; public policy think tank services, namely, providing business development solutions, public policy solutions, new ideas and concepts to accelerate economic development of underprivileged, underserved and disadvantaged regions (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); insurance claims auditing services. Philanthropic services concerning monetary donations; philanthropic foundation services, namely, financial endowment of programs to foster economic empowerment; financial lending, namely, consumer lending services and small business lending services; consumer and commercial lending services, namely, financing relating to hardware, equipment and apparatus; commercial lending services; charitable campaign sponsorship services, namely, providing financial sponsorship of activities to promote education, business, economic and community development in underprivileged, underserved and disadvantaged regions; charitable fund raising; charitable services, namely, financial consultancy services; financial sponsorship of youth life skills programs; financial services, namely, arranging business fundraising for others' activities; arranging charitable fundraising; insurance, namely, insurance brokerage services; providing extended warranty on tax preparation software; administration of employee benefits concerning finance and insurance for others; financial services, namely, online banking, bill payment, electronic wallet, and tax payment processing by electronic means; financial information provided by electronic means; payroll tax payment, and debiting services; payroll tax payment processing, payroll tax payment financial management, and payroll tax payment financial analysis services; financial services, namely, enabling users to retrieve, aggregate, and analyze account, transaction, and balance information from a wide variety of sources, including banks and other financial institutions, and credit card and debit card issuers; financial services, namely, bank account management services, financial planning for retirement, financial planning services, consumer lending, credit reporting, payroll tax debiting services, and bill payment services, all via computer and communications networks; provision of financial information; providing information in the nature of news and expert opinions for professionals in the fields of finance and financial planning; administering employee benefits for others concerning insurance and finance plans; electronic wallet and tax payment processing by electronic means; philanthropic giving services, namely, monetary donations to charitable organizations; providing financial management services via computer and communication networks; providing electronic cash, credit card, and debit card transaction services via computer and communication networks; providing online banking service; providing bill payment and tax payment processing services via computer and communication networks; electronic processing and subsequent transmission of bill payment data for others; financial analysis and consultation, namely, providing information, advice, and analysis, for professionals in the fields of accounting, finance, financial planning, tax preparation and tax planning information via computer and communications networks; consultation, advisory, analysis, and assistance services with regard to tax payment management; providing analysis and calculation of tax payments; provision of information concerning tax payment management; providing online financial calculators; financial management services via global computer networks; providing information to consumers in the fields of personal financial management; providing information to consumers on optimizing interest and fees for financial and card accounts; financial risk assessment services, namely, financial risk scoring and modeling; providing financial history, payment history, loan and debt burden information to consumers; financial portfolio analysis services, namely, providing consumers with insights into how they compare against others like them in the fields of finance, financial investments, financial valuations, and the financial aspects of retirement; providing financial data analysis for financial purposes and financial advice; providing information on optimizing interest and minimizing fees for financial and card based accounts; loan comparison services, namely, providing information related to obtaining loan financing; loan comparison services, namely, providing information on qualifying requirements related to obtaining loan financing; credit scoring services; loan comparison services, namely, providing information related to obtaining personal loans, peer-to-peer loans, and student loans; loan comparison services, namely, providing information on qualifying requirements related to obtaining personal loans, peer-to-peer loans, and student loans; issuance of prepaid credit cards; electronic wallet and tax payment processing services; electronic money transfer services; bill payment services; online banking services enabling users to directly deposit tax refunds into accounts at financial institutions; debit account services featuring a computer readable card, checking account and refund account services featuring a computer readable card; debit account services for the payment and deposit of funds, provided through electronic funds transfer; credit card and gift card transaction processing services for consumers and businesses; consultation, advisory, analysis, and assistance services with regard to tax payment financial management; tax payment financial analysis and calculation; provision of information concerning tax payment financial management; providing online financial information and statistics to compare wages; providing online financial information in the field of wages; providing online financial information in the field of wage and salary comparison; insurance brokerage in the fields of general liability insurance, workers' compensation insurance, health insurance, business personal property insurance, business owner's insurance, professional liability insurance, business income insurance, unemployment insurance and business renter's insurance; providing insurance information; providing information in insurance matters; providing a website featuring information in the field of business insurance (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing financial services to non-profit organizations, individuals and small businesses; providing aggregated and anonymized financial data to others for economic and financial trend analysis; loan comparison services, namely, rate comparison services related to obtaining loan financing, personal loans, peer-to-peer loans, lending products that match investors with borrowers, and student loans. Educational services, namely, providing workshops, seminars, classes, and motivational speakers in the area of restaurant and retail business management; educational services in the area of poverty elimination, namely, conducting classes, workshops, seminars, conferences, webcasts, non-downloadable webinars, podcasts and programs in the field of health security, economic empowerment for underprivileged communities and community investment and community leadership development; arranging and conducting contests; organizing exhibitions and conferences in the fields of culture, sports and entertainment for non-business and non-commercial purposes; sweepstake services; educational services, namely, providing courses, seminars, non-downloadable webinars, conferences, workshops and panel discussions in the fields of product and service design, product development and innovation practices; training services, namely, providing training of accountants, bookkeepers, and business managers for certification in the fields of accounting, business and computer software; educational services, namely, providing courses, seminars, non-downloadable webinars, conferences, workshops and panel discussions in the field of professional tax management, operations and design; training services, namely, professional tax management, operations and design training services; educational services, namely, providing courses, seminars, non-downloadable webinars, conferences, workshops and panel discussions in the field of computer software; training services, namely, computer software training services; educational services, namely, providing courses, seminars, non-downloadable webinars, conferences, workshops and panel discussions in the field of business management and business management software; educational services, namely, providing courses, seminars, non-downloadable webinars, conferences, workshops and panel discussions in the field of business management, inventory management, payments, customer and vendor management, accounting, personal finance, budgeting, investing and personal financial management; certification training services, namely, training services in the field of computer software user certification; education services, namely, providing courses, seminars, non-downloadable webinars, conferences, workshops and panel discussions in the field of tax planning, tax preparation, and professional tax consulting; training services, namely, training services in the field of professional tax; providing facilities for sports, educational, philanthropic and entertainment events (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing arena facilities for sports and entertainment; entertainment services, namely, providing and leasing arena facilities for entertainment, educational, and sporting events; organizing exhibitions for entertainment, and educational purposes; arranging and conducting athletic competitions; providing facilities for entertainment, educational, and sporting events and recreational activities; providing sports facilities; providing facilities for educational, cultural, and sporting conventions; organizing and conducting community sporting, philanthropic and cultural events; festivals featuring a variety of sports and entertainment activities, namely, live music performances, sports games and matches, school graduations, entertainment conferences, dance events, food and beverage tastings and art exhibitions; live sporting exhibitions and community festivals featuring recreational games, music and cultural events; rental of arena and stadium facilities for entertainment, educational, and sporting events; providing facilities for sports tournaments; social club services, namely, hosting social events, get-togethers, and parties for club members; educational services, namely, conducting classes, seminars, conferences, workshops, retreats, camps and field trips in tax preparation, personal and business finance, and business management; arranging and conducting youth enrichment and youth educational and life skills programs in the fields of personal finance; organization of sports events in the field of basketball; providing an Internet website portal in the field of entertainment, concerts and sporting events (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); ticket reservation and booking services for entertainment, cultural and sporting events; entertainment in the nature of live performances by musical bands, dance performances, orchestral performances, planning arrangement of showing movies, electronic lighting and laser displays; providing information in the field of sports and entertainment by means of the internet, telephone and digital transmission; educational services, namely, providing seminars and courses of instruction in the field of organizing, and the business management of trade shows and exhibitions; organizing sports, recreational cultural and entertainment events for public exhibition; providing a website containing information about entertainment, sports and entertainment events, sporting competitions, and sports events (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); operating arena and stadium suites for entertainment event-viewing and business conference purposes (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); entertainment in the nature of community sporting events and athletic competitions; entertainment in the nature of live performances by musical bands; providing information in the field of sports and entertainment by means of the Internet and by telephone recorded messages; educational services, namely, providing seminars and classroom courses for others on tax preparation, personal finance, business finance, accounting, and marketing; production of television, radio, cable television, cable radio, subscription television, video, audio programs of arena events and production of programs of arena events for transmission via a global computer network; arranging and conducting athletic competitions and educational conferences in the field of tax preparation, accounting and business management; ushering services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); online admission ticketing agency services for entertainment, educational, and sporting events; arranging for ticket reservations for arena entertainment events; hosting of conferences for others in the field of small business management; providing tax preparation, accounting, and business management training to non-profit organizations, individuals and small businesses; organization of conferences in the field of tax preparation, accounting, and business management for commercial purposes for retailers, dealers and distributors; arranging and conducting business conferences in the field of tax preparation, accounting, and business management; providing facilities for educational and entertainment meetings and events; arranging and conducting business conferences in the fields of finance, payroll and tax preparation and processing, accounting and business management; arranging and conducting business conferences in the field of software development; providing facilities for philanthropic events (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing social function facilities in the nature of arena and stadium suites for event-viewing purposes; organizing exhibitions for philanthropic fundraising purposes. Providing temporary use of online non-downloadable software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; providing temporary use of online non-downloadable software that enables communication between business and financial professionals and their clients; providing temporary use of online non-downloadable software for customer relationship management; providing temporary use of online non-downloadable software to import contacts and business data from other electronic services and software; providing temporary use of online non-downloadable software to manage customer lists, e-mail and print forms, and track customer interactions; providing temporary use of online non-downloadable software for controlling access to financial and business information, data and documents; providing temporary use of online non-downloadable software to create, customize, print, export, and e-mail documents and reports; providing temporary use of online non-downloadable computer software to analyze the financial status of businesses and industries; providing temporary use of online non-downloadable software for synchronizing data among computers and mobile devices; providing temporary use of online non-downloadable software for marketing automation and marketing campaign management; providing temporary use of online non-downloadable software for database management, data aggregation, data reporting, and data transmission; providing temporary use of online non-downloadable software for online backup of electronic files; providing temporary use of online non-downloadable software used for multiple-user online communication, real-time collaboration and document sharing; providing temporary use of online non-downloadable software that enables multiple users to screen share and communicate for use in providing remote business and financial consulting and advice; providing temporary use of online non-downloadable software that enables users to capture, upload, download, store, organize, view, create, edit, encrypt, send and share documents, information, data, images, photographs, and electronic messages; providing temporary use of online non-downloadable personal and organizational productivity software to measure, record, track, analyze, and manage data for the purpose of improving personal and business productivity; providing temporary use of online non-downloadable software for time management; providing temporary use of online non-downloadable software to track time worked by employees and subcontractors; providing temporary use of online non-downloadable software for accounting, bookkeeping, financial and business transaction processing management, financial and business transaction management, tax preparation and tax planning, business process management, and financial planning; providing temporary use of online non-downloadable software for creating reports in the field of personal and business finance, tax preparation, project cost management and tax management; providing temporary use of online non-downloadable software for use in the management of payroll; providing temporary use of online non-downloadable software for administering employee payroll; providing temporary use of online non-downloadable software for use in the management of benefit plans, insurance plans, retirement plans, unemployment insurance plans, and pre-paid health care plans; providing temporary use of online non-downloadable software for creating, customizing, and managing invoices, recording payments, and issuing receipts; providing temporary use of online non-downloadable software for use in organizing, servicing and tracking sales, collections and receivables data; providing temporary use of online non-downloadable software for tracking income, expenses, sales, and profitability by business location, department, type of business, or other user set field; providing temporary use of online non-downloadable software to calculate and charge sales tax and to create reports to pay sales tax to appropriate tax agencies; providing temporary use of online non-downloadable software for credit card invoicing and credit card payment processing; providing temporary use of online non-downloadable computer software for managing online bank accounts; providing temporary use of online non-downloadable software to create, customize, print, export, and e-mail purchase orders; providing temporary use of online non-downloadable software to create and manage budgets; providing temporary use of online non-downloadable software to create price quote estimates and transfer price quote estimates to invoices; providing temporary use of online non-downloadable software to automate creation of invoices; providing temporary use of online non-downloadable software to create, customize, print, export, and e-mail financial reports, business reports, balance sheets, profit and loss statements, cash flow statements, and taxable sales reports; providing temporary use of online non-downloadable software to create, print, and track checks and purchase orders; providing temporary use of online non-downloadable software to track sales, expenses, and payments; providing temporary use of online non-downloadable software for inventory management; providing temporary use of online non-downloadable software for use in transaction processing, accounting, receipt printing, customer relationship management, inventory management and operations management, all in the field of point of sale transactions and retail management; providing temporary use of online non-downloadable software for sending, receiving and recording monetary transactions; providing temporary use of online non-downloadable software for tax calculation and tax return preparation and filing; providing temporary use of online non-downloadable software for processing tax payments; providing temporary use of online non-downloadable software for organizing, tracking and reporting tax deductible expenses; providing temporary use of online non-downloadable software for tracking charitable donations and calculating charitable tax deductions and fair market value of goods and services; providing temporary use of online non-downloadable software for customers to directly deposit tax refunds into accounts at financial institutions; providing temporary use of online non-downloadable software to pre-populate tax forms with tax data from online banking accounts; providing temporary use of online non-downloadable software that enables multiple users to screen share and communicate for use in providing assistance with regard to accounting and taxes; providing temporary use of online non-downloadable software for use in providing assistance with regard to accounting and taxes; providing temporary use of online non-downloadable software that enables communication between financial, business and tax professionals and customers; providing temporary use of online non-downloadable software that enables communication between technical support representatives and customers; providing temporary use of online non-downloadable software for use in providing technical support; providing temporary use of online non-downloadable software for use in troubleshooting problems with computer software and online services via telephone, online chat, email, video and other means; providing temporary use of online non-downloadable software that enables communication between tax professionals and customers; providing a website featuring technology that enables users to match work opportunities with professional expertise (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology for professionals seeking work and individuals and companies seeking the services of professionals, and performing analysis to match the background, skills and capabilities of professionals with the needs of those seeking the services of such professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables users to track, analyze and generating reports regarding the operation, use and users of an online marketplace (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables users to post recommendations, ratings and reviews regarding work performed and the capabilities and performance of professionals who perform work (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables users to form and manage contracts with business and financial professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables users to collect, analyze and report feedback, reviews and information regarding performance of business and financial professionals and project vendors (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables small business owners and consumers to find and connect with professionals in the fields of accounting, finance, financial management, financial planning, investments and tax (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables small business owners and consumers to find and connect with business and financial professionals (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); software as a service (SaaS) featuring cloud computing software for accounting, bookkeeping, financial and business transaction processing management, financial and business transaction management, tax preparation and tax planning, business process management, and financial planning; providing online non-downloadable software and software platform services for interacting with mobile devices for accounting, bookkeeping, financial and business transaction processing management, financial and business transaction management, tax preparation and tax planning, business process management, and financial planning; electronic storage of data; computer security consultancy services; providing online non-downloadable software to communicate with and control machines and other apparatus, namely, video display monitors, smart watches, kitchen appliances and household appliances, and residential heating, plumbing, air conditioning, and electrical systems; providing online non-downloadable software to allow users to access, interact and interoperate with the internet of things, including networks of physical objects and machines, namely, wearable video display monitors, smart watches, kitchen appliances and household appliances, and residential heating, plumbing, air conditioning, and electrical systems; technical consultation in the fields of computer hardware and software; computer software installation, setup, and configuration services; computer software and systems integration services; data conversion of computer program data or information; computer and smartphone data recovery services; providing temporary use of non-downloadable computer software for performing queries and transactions, and for storing, modifying, transmitting and receiving information in the fields of personal finance, business finance, accounting, banking, bill payment, financial planning, tax preparation and tax planning, all via computer and communication networks; providing temporary use of non-downloadable computer software for creating reports in the fields of personal and business finance and accounting, transaction processing, tax preparation and planning, tax filing, business process management, and financial planning; providing temporary use of non-downloadable computer software for administering employee benefits and payroll, inventory management, estimating, job costing, employee time tracking, business operations management and project management; providing temporary use of non-downloadable computer software for use in real estate and property management, automotive service and repair management, construction and building management, health care practice management, law firm management, non-profit and public sector organization management, retail and restaurant management, and travel services management; providing temporary use of non-downloadable computer software for managing health care information, prescription information, medical history, medical billing, patient records, and other medical records; providing temporary use of non-downloadable computer software for managing medical insurance, medical payments, expenses and billing; providing temporary use of non-downloadable software development tools and templates for data management; providing temporary use of non-downloadable software for use in sharing data with others; data hosting services; hosting software programs for use in managing, organizing, and sharing data on a computer server and for web-based collaboration on a global computer network and on internal computer networks; technical support services, namely, troubleshooting of problems with web sites and online services; technical support services, namely, troubleshooting in the nature of diagnosing computer hardware, software, electronic data storage and security, and electronic database problems; membership services, namely, providing computer software technical assistance to member software developers; data sharing services, namely, providing information technology information on data sharing techniques; providing temporary use of online non-downloadable software for use by tax professionals for tax preparation for others; providing temporary use of online non-downloadable software for use in tax analysis, planning and preparation; providing temporary use of online non-downloadable software for use in filing of tax returns, tax reports and tax documents; providing temporary use of online non-downloadable tax practice management software; enabling data management, namely, providing temporary use of non-downloadable software development tools and templates for data management; enabling data sharing, namely, providing temporary use of non-downloadable software for use in sharing data with others; data hosting services; enabling data hosting services, namely, hosting software programs for use in managing, organizing, and sharing data on a computer server on a global computer network and on internal computer networks; enabling data management, namely, technical support services, namely, trouble shooting computer database problems by telephone and via a global computer information network; providing temporary use of on-line non-downloadable software for tax planning; software as a services (SAAS) services featuring software for tax planning; providing temporary use of online, non-downloadable mobile application software for tax planning; providing temporary use of on-line non-downloadable software that enables users to capture, upload, download, store, organize, view information and data, all in the fields of tax planning, personal accounting, financial management, and generating and submitting applications for financial services; technical support services, namely, troubleshooting problems with computer software and online services via telephone, e-mail and other means; providing temporary use of non-downloadable software for use in connecting consumers with third-party financial services; providing temporary use of non-downloadable software for use in providing automated personal financial management services; providing temporary use of non-downloadable software for use in asset allocation and sector analysis; providing temporary use of non-downloadable software for consumers to create a unified financial profile for themselves, their businesses and their families; providing temporary use of non-downloadable software for use by consumers aggregate, access, view and manipulate financial records from multiple accounts in a single location; platform as a service (PAAS) featuring computer software platforms for use by consumers to aggregate, access, view, manipulate and share financial records from multiple accounts in a single location; fraud protection services, namely, computer security services in the nature of threat analysis for protecting data; identity protection and restoration services, namely, electronic monitoring of personally identifying information to detect identity theft via the Internet; providing temporary use of online non-downloadable computer software for personal financial management; providing temporary use of online non-downloadable computer software for enabling users to retrieve financial transaction information using mobile phones, smart phones, and mobile telecommunication networks; providing temporary use of online non-downloadable computer software for transacting, tracking and management of cryptocurrency, digital currency and virtual currency; providing temporary use of online non-downloadable computer software for investment management and tracking; providing temporary use of online non-downloadable computer software for forecasting and analysis of data; providing temporary use of online non-downloadable computer software for data aggregation; providing temporary use of online non-downloadable computer software for providing banking, financial and bill payment alerts; providing temporary use of online non-downloadable computer software for providing wireless access to data and databases; providing temporary use of online non-downloadable computer software for enabling users to retrieve financial account balances using mobile phones, smart phones, and mobile telecommunication networks; electronic monitoring of credit card activity and credit reports to detect fraud via the internet; providing temporary use of online non-downloadable software for controlling access to financial and business information, data and documents via electronic permission settings; providing temporary use of online non-downloadable software for accounting, tax preparation, project costing management and tax management use in the field of personal and business finance; providing temporary use of online non-downloadable software for providing technical support; providing temporary use of online non-downloadable software for troubleshooting problems with computer software and online services via telephone, online chat, email, video and other means; platform as a service (PAAS) featuring computer software platforms for use in workforce management, worker performance management, payroll administration and management, and benefits administration and management; platform as a service (PAAS) featuring computer software platforms for use in managing the hiring, onboarding, and regulatory compliance of independent workforces; platform as a service (PAAS) featuring computer software platforms for use in managing freelancers, independent contractors, shift-based workers, and temporary workers; platform as a service (PAAS) featuring computer software platforms for use in managing on-demand service workers; platform as a service (PAAS) featuring computer software platforms for use in human resources management; providing temporary use of non-downloadable computer software for use by small businesses to analyze industry trends, share business and financial observations, and compare performance with user-defined groups; providing temporary use of non-downloadable software that provides financial data for use by small businesses; providing temporary use of non-downloadable software for use in measuring, plotting, and analyzing financial micro and macro trends, revenue, sales, expenses, and profits; providing temporary use of non-downloadable software for use in comparing expenses, income, profit, profit margins, liquidity, sales growth, and cash flow with user-defined groups of businesses; providing temporary use of non-downloadable business management software; providing temporary use of non-downloadable financial management software; providing a website featuring technology that enables users to identify and highlight market, business, financial, industry, and sales trends and share observations with a community of other users (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing temporary use of an online non-downloadable software tool for use in comparing wages; providing temporary use of an online non-downloadable software tool for use in obtaining information on wages; providing temporary use of an online non-downloadable software tool to compile percentile distributions of hourly wages and annual wages for jobs at given geographical locations; providing temporary use of an online non-downloadable software tool for use by employers to make informed pay decisions; providing temporary use of non-downloadable computer software for managing health care information; computer services, namely, data recovery services; computer software installation and configuration support; providing a website featuring technology that enables users to monitor, track, and analyze business data and business statistics for use in measuring business growth (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing online non-downloadable software for use in monitoring, tracking, and analyzing business data and business statistics to measure business growth; providing online non-downloadable software for use in advertising, marketing, and customer relationship management; providing a website featuring technology that enables consumers to search for service providers, schedule appointments with service providers using an integrated online scheduler, obtain special promotions, and find consumer reviews (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables users to track marketing and advertising campaigns and measure the results of marketing and advertising campaigns (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology that enables users to track website page views, website impressions and website clicks, access and synthesize analytic data and generate charts to measure the results of marketing and advertising campaigns (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing online non-downloadable computer software for creating reports; providing online non-downloadable computer software for event ticketing and seating, event wayfinding, event parking, promoting entertainment and sporting events and receiving and redeeming product and service discounts to event attendees; software as a service (SAAS) services featuring software for payroll administration, preparation, processing, and management; software as a service (SAAS) services featuring software for payroll tax payment processing, payroll tax payment management, and payroll tax payment analysis; research, design, and development of computer software; providing a website featuring technology for users to download, review, analyze, and comment on experimental software applications, mobile applications, and small business software solutions (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a website featuring technology for developers to share ideas for new software products and services (term considered too vague by the International Bureau pursuant to Rule 13 (2) (b) of the Regulations); providing a web site featuring technology that enables users to request and record ideas, suggestions, and comments from other users in the field of experimental software applications, mobile applications, and small business software solutions; providing information in the field of experimental software applications and mobile applications; providing a web site featuring technology that enables users to capture, upload, download, store, organize, view, create, edit, encrypt, send and share receipts, documents, information, data, images, photographs, and electronic messages, all in the field of finance, accounting, bookkeeping, tax planning, tax return preparation, and tax return filing; providing a web site featuring technology that enables communication between financial professionals and their clients; providing technical assistance with software development and software installation to member software developers; providing online non-downloadable computer software for accounting, bookkeeping, financial and business transaction processing management, financial and business transaction management, tax preparation and tax planning, business process management, financial planning, marketing automation and marketing campaign management for use by non-profit organizations, individuals and small businesses, and technical support related to installation and repair of same; computer systems security services, namely, password removal and protection; encoding of valuable documents with identification information. Providing facilities for business meetings and events; providing facilities for business events; providing facilities for philanthropic fundraising meetings and events; providing facilities for educational, philanthropic, political and entertainment conferences; providing facilities for trade exhibitions.

Abrégé

Systems and methods for predicting emerging topics are disclosed herein. An example method is performed by one or more processors of a computing system. The example method may include receiving a transmission over a communications network from a computing device associated with a user of the computing system. The example method may also include determining a most relevant domain for the user based on activity data associated with the user. The example method may also include selecting, for a prediction engine, a model trained to predict trends within the most relevant domain. The example method may also include obtaining, using the prediction engine in conjunction with the selected model, at least one predicted trend indicating an emerging topic within the most relevant domain. The example method may also include generating, for the user, at least one insight associated with the emerging topic.

Classes IPC  ?

• G06N 3/042 - Réseaux neuronaux fondés sur la connaissanceReprésentations logiques de réseaux neuronaux

Abrégé

Aspects of the present disclosure relate to fine-tuning machine learning models based on retrieval augmented generation. Embodiments include generating, using a machine learning model, answers to one or more queries based on a plurality of retrieval augmented generation (RAG) sets comprising documents selected as context data for the one or more queries through a RAG process. Embodiments include generating benchmark scores for the plurality of RAG sets based on the answers. Embodiments include assigning each RAG set of the plurality of RAG sets to one or more groups based on analyzing the benchmark scores. Embodiments include compiling a set of training data for each group in the one or more groups based on the plurality of RAG sets and the assigning. Embodiments include, for each respective group of the one or more groups, training a corresponding machine learning model using the set of training data for the respective group.

Classes IPC  ?

• G06N 3/096 - Apprentissage par transfert

Abrégé

A method includes obtaining an extracted document corresponding to a customer. The extracted document includes a multitude of canonical field identifiers and a corresponding multitude of canonical field values. A prompt is generated for a document conversion language model (LM) to convert the extracted document. The converted document and a client-application-generated (CAG) document corresponding to the customer are compared to identify differences between the converted document and the CAG document. The method further includes generating a subsequent prompt to the document conversion LM including the differences as inputs. The method further includes processing the subsequent prompt by the document conversion LM to generate a natural language summary of the identified differences. The method further includes presenting the identified differences and the natural language summary in a client application.

Classes IPC  ?

• G06F 40/12 - Utilisation de codes pour le maniement d’entités textuelles
• G06F 40/20 - Analyse du langage naturel

Abrégé

Certain aspects of the disclosure provide for a difference analysis method. In certain aspects, a difference analysis method may include embedding a set of source documents into a knowledge graph, wherein each source document is embedded in the knowledge graph as a set of segments and a set of associations connecting two or more segments. A difference may be determined between a first segment in the set of segments of a first source document and a second segment in the set of segments of a second source document. In response to determining the difference between the first segment in the set of segments of the first source document and the second segment in the set of segments of the second source document, determining a significance of the difference on the second source document based on one or more associations of the set of associations connected to the second segment.

Classes IPC  ?

• G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
• G06F 16/93 - Systèmes de gestion de documents
• G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance

Abrégé

Aspects of the present disclosure relate to securing image processing machine learning models. Embodiments include receiving an input image. Embodiments further include injecting a protective patch into the input image to produce a patched image, wherein the protective patch comprises security instructions that prevent an image processing machine learning model from performing a target action. Embodiments further include providing the patched image to the image processing machine learning model. Embodiments further include receiving an output from the image processing machine learning model based on the patched image.

Classes IPC  ?

• G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte

Abrégé

At least one processor may configure a plurality of large language model (LLM) permutations by, for each of the plurality of LLM permutations, injecting at least one layer from a large-scale LLM into the LLM permutation, wherein the large-scale LLM has a greater number of parameters than each of the plurality of LLM permutations, and each of the plurality of LLM permutations has a different combination of layers from one another after the injecting. The at least one processor may evaluate performance of each of the plurality of LLM permutations, select a high-performing LLM permutation according to the evaluating, and deploy the high-performing LLM permutation during a runtime.

Classes IPC  ?

• G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p. ex. des interruptions ou des opérations d'entrée–sortie
• G06F 8/60 - Déploiement de logiciel
• G06F 16/3329 - Formulation de requêtes en langage naturel

Abrégé

The present disclosure relates to systems and methods for application programming interface (API) mapping to address security and operational challenges in modern software ecosystems. The disclosed system introduces an API map that associates API calls with session identifiers, enabling the construction of detailed API transaction lineages and providing attribution to organizational teams, hardware infrastructure, and customer identities. Telemetry data from API gateways, service meshes, and event buses is captured to construct a central API inventory and identify business flows, such as “move money” or “file tax.” The system facilitates anomaly detection, blast radius analysis, incident tracing, and fraud behavior investigation, while reducing mean time to detect (MTTD) and mean time to remediate (MTTR). The non-intrusive design integrates session IDs into HTTP headers, ensuring seamless compatibility with existing systems. By leveraging real-time visibility and advanced detection capabilities, the disclosed framework enhances security and operational efficiency in API ecosystems.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité
• G06F 9/54 - Communication interprogramme

Abrégé

Aspects of the present disclosure relate to optimized generative machine learning systems. Embodiments include a generative machine learning model that comprises multiple sets of hidden decoder layers. In certain embodiments, a first set of decoder layers having a relatively small number of synaptic weights is used to generate reasoning steps for the model. The second set of decoder layers may have a larger number of synaptic weights than the first set, and the second set may be used to generate tokens of the response based on the reasoning steps. In some embodiments, each set of decoder layers comprise a plurality of neurons organized in an array, wherein each neuron comprises a register, a microprocessor, and at least one input. The neurons may be connected using synaptic circuitry.

Classes IPC  ?

• G06N 3/0475 - Réseaux génératifs
• G06N 3/0455 - Réseaux auto-encodeursRéseaux encodeurs-décodeurs
• G06N 3/048 - Fonctions d’activation
• G06N 3/063 - Réalisation physique, c.-à-d. mise en œuvre matérielle de réseaux neuronaux, de neurones ou de parties de neurone utilisant des moyens électroniques
• G06N 3/08 - Méthodes d'apprentissage

Abrégé

Aspects of the present disclosure relate to techniques for deriving cryptographic keys. Embodiments include using a key encapsulation mechanism to encrypt various data items transferred between a first remote server and a client device during a key derivation process. In some embodiments, the encrypted data items include a blinding value and a client key. Embodiments further include using a hybrid post-quantum key exchange technique to securely store and transfer keys used by the remote servers as part of the key derivation process.

Classes IPC  ?

• H04L 9/08 - Répartition de clés

Abrégé

At least one processor may receive a user prompt from a user and determine a user role associated with the user. The at least one processor may select a system prompt associated with the user role and identify at least one data source from among a plurality of available system prompts each associated with a different respective user role and indicating one or more data sources accessible according to the respective user role. The at least one processor may build a final prompt configured to retrieve data responsive to the user prompt from the at least one data source. The at least one processor may query a generative artificial intelligence (GenAI) system using the final prompt, the querying causing the GenAI system to access the at least one data source identified by the system prompt and provide a response incorporating data obtained from the at least one data source.

Classes IPC  ?

• G06F 21/31 - Authentification de l’utilisateur

Abrégé

Aspects of the present disclosure relate to protocols and systems for facilitating agent-to-agent communications in an agentic artificial intelligence (AI) system. Embodiments include establishing a schema for a first AI agent and a second AI agent based on a communication process between the first AI agent and the second AI agent. Embodiments further include configuring a translation component to interface between the first AI agent and the second AI agent based on the schema. Embodiments further include using the configured translation component to generate a secure version of a prompt generated by the first AI agent. Embodiments further include providing the secure version of the prompt as input to the second AI agent. In some embodiments, cryptographic techniques such as watermarking and establishing encrypted communication channels are used to provide additional security for agent-to-agent interactions.

Classes IPC  ?

• G06F 21/16 - Traçabilité de programme ou de contenu, p. ex. par filigranage
• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]
• G06F 21/60 - Protection de données
• G06F 21/62 - Protection de l’accès à des données via une plate-forme, p. ex. par clés ou règles de contrôle de l’accès
• G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
• H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

Abrégé

A method includes retrieving raw clickstream data of a multitude of visitors of a client application. A multitude of session sequences obtained from the raw clickstream data is processed to obtain a multitude of engagement scores corresponding to the multitude of visitors. A multitude of page sequences obtained from the raw clickstream data is processed to obtain a multitude of page entropies corresponding to the multitude of visitors. Interaction velocities of the multitude of visitors are computed based on an interaction velocity function. Feature vectors for the multitude of visitors, are generated, including the engagement scores, page entropies, and interaction velocities. The feature vectors are clustered to obtain clusters. Each cluster is assigned to a corresponding intent category. The intent categories are mapped to the visitors to obtain intent categories for the visitors.

Classes IPC  ?

• G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
• G06F 18/23 - Techniques de partitionnement
• G06N 3/084 - Rétropropagation, p. ex. suivant l’algorithme du gradient
• G06N 3/098 - Apprentissage distribué, p. ex. apprentissage fédéré

Abrégé

Aspects of the present disclosure involve blockwise token generation with selective error localization and repair. Aspects include generating, by a machine learning model, a structural plan comprising plan tokens that encode constraints expected to be satisfied by an output sequence. Aspects include parsing the plan tokens into a ledger of remaining constraints. Aspects include generating, by the machine learning model, the output sequence comprising a block of multiple candidate tokens. Aspects include computing local constraint signals for the block and comparing the local constraint signals to a corresponding subset of the ledger to produce a syndrome for token verification. Aspects include, based on the syndrome indicating a constraint violation, identifying one or more violating token positions via a token-to-constraint mapping. Aspects include generating, by the machine learning model, one or more replacement candidate tokens for the one or more violating token positions while retaining other candidate tokens in the block.

Classes IPC  ?

• H04L 9/32 - Dispositions pour les communications secrètes ou protégéesProtocoles réseaux de sécurité comprenant des moyens pour vérifier l'identité ou l'autorisation d'un utilisateur du système

Abrégé

A method includes obtaining an agentic workflow from an artificial intelligence (AI) agent execution framework. An execution graph of the agentic workflow is generated by an LLM, including a multitude of nodes corresponding to a multitude of tasks. The tasks are partitioned by complexity into first complexity level tasks and second complexity level tasks. A first set of candidate models performs the first complexity level tasks. A first candidate model is assigned to a first task, based on an optimization function value of performance metrics of the first candidate model. A second set of candidate models performs the second complexity level tasks. A second candidate model is further assigned to a second task. The candidate models are assigned to respective nodes of the execution graph, to modify the execution graph. An updated agentic workflow is generated from the modified execution graph and deployed to the AI agent execution framework.

Classes IPC  ?

• G06F 9/48 - Lancement de programmes Commutation de programmes, p. ex. par interruption

Abrégé

Certain aspects of the disclosure provide a method for fine-tuning a language model (LM) including obtaining a first conversation stream of a first conversation, wherein the first conversation stream includes one or more messages and one or more events; mapping an event to at least one message of the one or more messages, the mapping being performed using at least one of event-based labeling or content-based labeling; and fine tuning a language model (LM) using the event and the at least one message that are mapped, the fined-tuned LM being configured for: determining one or more tools that are external to the fine-tuned LM and invokable, by the fine-tuned LM, at least to generate an output that is related to the event and the at least one message, the output being usable by the fine-tuned LM during a second conversation to perform one or more actions.

Classes IPC  ?

• G06N 3/092 - Apprentissage par renforcement
• G06F 16/35 - PartitionnementClassement
• G06N 3/0475 - Réseaux génératifs

Produits et services

(1) Downloadable computer chatbot software for simulating conversations; downloadable computer search engine software (2) Downloadable artificial intelligence software for enabling interaction and communication between humans and machines, humans and software, humans and other humans, machines and other machines, software and other software, and between and among machines and software applications and operating systems; downloadable computer software for use in providing information and advice using a hybrid of artificial intelligence and human intelligence; downloadable computer software for generative artificial intelligence and human intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for knowledge engineering, namely, software for use in creating rules to apply to data to imitate the thought process of a human expert; downloadable computer software featuring artificial intelligence and human intelligence and machine learning features and capabilities; downloadable computer software featuring artificial intelligence and human intelligence for use in processing physical commands; downloadable computer software featuring artificial intelligence and human intelligence for use in processing voice commands, searching databases, and creating audio, images, textual, and numeric responses to user-specific inquiries; downloadable computer software featuring artificially intelligent bots, virtual agents, virtual assistants, chatbots, and live chat; downloadable computer software for artificial intelligence and human intelligence processing and machine learning to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for automated analysis of data and for producing automated insights; downloadable computer software for automated analysis of large datasets to enable decision-making; downloadable computer software for automatically analyzing data to enable reporting, behavioral analysis and trend analysis; downloadable computer software for automatically categorizing data; downloadable computer software for automation of actions on behalf of a user, a machine, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for automation of business and personal tasks; downloadable computer software for designing and creating computerized virtual agents, virtual assistants, chatbots, and live chat; downloadable computer software for enabling interaction and communication between humans and AI (artificial intelligence); downloadable computer software for enabling multimodal natural language, speech, text, numerical, image, video, and sound data inputs; downloadable computer software for enabling sentiment analysis; downloadable computer software for facilitating interaction and communication between users and artificial intelligence platforms, systems, and applications, including but not limited to chatbots, virtual agents, virtual assistants, and conversational agents, using machine learning; downloadable computer software for multi-modal machine learning-based language, text, speech, images, sound, and numerical calculation data processing; downloadable computer software for producing automated reminders and recommendations; downloadable computer software for use in data management, data analysis, artificial Intelligence, business intelligence, digital virtual agents, chatbots, live chat, predictive systems, machine learning, natural language processing, and deep learning algorithms; downloadable computer software for use in performing predictive data analysis; downloadable computer software for use in performing predictive data analysis, recommendations, personalization, automatic data understanding, automatic rules generation, and automatic software code generation to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for use in processing and generating natural language queries; downloadable computer software to match users with virtual agents and live experts in the fields of finance, accounting, payments, project management; downloadable computer software using artificial intelligence and human intelligence for rendering and navigating virtual reality environments; downloadable computer software using artificial intelligence and human intelligence for the production of speech, text, images, sound, and numerical calculations; downloadable computer software using artificial intelligence, artificially intelligent bots, virtual agents and virtual assistants for aggregation, compilation, processing and analysis of data and information in the fields of finance, accounting, payments, project management; downloadable computer software which takes automated actions on behalf of a user, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for accounting, bookkeeping, financial and business transaction processing management, financial and business transaction management, personal finance, business finance, tax preparation and tax planning, business process management, and financial planning; downloadable computer software for customer relationship management; downloadable computer software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; downloadable computer software for marketing services and marketing automation, namely, supporting and managing the creation, sending, optimizing and targeting of bulk electronic mail, advertising and promotional campaigns and surveys, and for promotion of e-commerce web sites; downloadable computer software for monitoring consumers' credit scores, reports, and alerts; downloadable computer software for providing financial tools and financial advice; downloadable computer software for use in customer relationship management (CRM); downloadable computer software for inventory management, operation management, retail management, enterprise resource planning (ERP); downloadable computer software that enables communication between financial, business and tax professionals and customers; downloadable computer software that enables multiple users to screen share and communicate for use in providing remote tax, business, and financial consulting and advice; downloadable computer software used for multiple-user online communication, real-time collaboration, and document sharing; downloadable computer software for tracking time worked by employees and subcontractors; downloadable computer software for transaction processing, point of sale transactions, invoicing, credit card payment processing, online banking; downloadable computer software for human resource management, payroll services, management of employee benefit plans, insurance plans, health care plans, workers' compensation plans, and retirement plan; downloadable business management computer software for health care practice management; downloadable software for artificial intelligence processing and machine learning; downloadable application programming interface (API) software featuring artificial intelligence and human intelligence and machine learning features and capabilities; downloadable computer software tools for software development. (1) Accounting and bookkeeping services; business invoicing services (2) Advertising, promotion, and marketing services in the nature of email campaigns for others; business consulting services; business information and accounting advisory services; business management services, namely, providing human resource department services for others featuring payroll preparation, payroll tax calculation, payroll tax filing, and employee benefit planning; business services, namely, assisting users to find and engage with virtual agents and live experts in the fields of finance, accounting, payments, and project management; consultation and advisory services in the field of taxes, namely, tax calculation, tax planning, tax return preparation, tax refund, tax management, preparation of tax forms, and tax return filing; consultation, advisory, and assessment services with regard to accounting and taxes, namely, accounting consultation, accounting advisory services, tax consultation, tax advisory services, and tax assessment; electronic tax filing services; monitoring of consumers' credit reports; online business and personnel management services; providing an online portal to match users with virtual agents and live experts in the fields of finance, accounting, payments and project management; providing business advice and business information relating to finance, accounting, tax planning, tax filing, business invoicing, marketing, loans, and credit monitoring; providing human resource department services and employee benefit planning; providing information concerning accounting, taxes, tax calculation, tax planning, tax return preparation, tax refunds, tax management, preparation of tax forms, and tax returns filing. (3) Financial services; consultation, advisory, analysis, and assistance services with regard to taxes and financial management; administration of employee benefits for others; electronic banking and payment services; electronic bill presentment for others; electronic financial transaction services; electronic fund transfer services; finance information services; provision of information relating to financial matters, insurance, banking, investments, shares, credit card services, and tax. (4) Providing online non-downloadable artificial intelligence software for enabling interaction and communication between humans and machines, humans and software, humans and other humans, machines and other machines, software and other software, and between and among machines and software applications and operating systems; providing online non-downloadable computer software for use in providing information and advice using a hybrid of artificial intelligence and human intelligence; providing online non-downloadable computer software for generative artificial intelligence and human intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for generative artificial intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for knowledge engineering, namely, software for use in creating rules to apply to data to imitate the thought process of a human expert; providing online non-downloadable computer chatbot software for simulating conversations; providing online non-downloadable computer search engine software; providing online non-downloadable computer software featuring artificial intelligence and human intelligence and machine learning features and capabilities; providing online non-downloadable computer software featuring artificial intelligence and human intelligence for use in processing physical commands; providing online non-downloadable computer software featuring artificial intelligence and human intelligence for use in processing voice commands, searching databases and creating audio, images, textual and numeric responses to user-specific inquiries; providing online non-downloadable computer software featuring artificially intelligent bots, virtual agents, virtual assistants, chatbots, and live chat; providing online non-downloadable computer software for artificial intelligence and human intelligence processing and machine learning to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for automated analysis of data and for producing automated insights; providing online non-downloadable computer software for automated analysis of large datasets to enable decision-making; providing online non-downloadable computer software for automatically analyzing data to enable reporting, behavioral analysis and trend analysis; providing online non-downloadable computer software for automatically categorizing data; providing online non-downloadable computer software for automation of actions on behalf of a user, a machine, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for automation of business and personal tasks; providing online non-downloadable computer software for designing and creating computerized virtual agents, virtual assistants, chatbots, and live chat; providing online non-downloadable computer software for enabling interaction and communication between humans and AI (artificial intelligence); providing online non-downloadable computer software for enabling multi-modal natural language, speech, text, numerical, image, video, and sound data input; providing online non-downloadable computer software for enabling sentiment analysis; providing online non-downloadable computer software for facilitating interaction and communication between users and artificial intelligence platforms, systems, and applications, including but not limited to chatbots, virtual agents, virtual assistants, and conversational agents, using machine learning; providing online non-downloadable computer software for multi-modal machine learning-based language, text, speech, images, sound, and numerical calculation data processing; providing online non-downloadable computer software for producing automated reminders and recommendations; providing online non-downloadable computer software for use in data management, data analysis, artificial Intelligence, business intelligence, digital virtual agents, chatbots, live chat, predictive systems, machine learning, natural language processing, and deep learning algorithms; providing online non-downloadable computer software for use in performing predictive data analysis; providing online non-downloadable computer software for use in performing predictive data analysis, recommendations, personalization, automatic data understanding, automatic rules generation, and automatic software code generation to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for use in processing and generating natural language queries; providing online non-downloadable computer software to match users with virtual agents and live experts in the fields of finance, accounting, and taxes; providing online non-downloadable computer software using artificial intelligence and human intelligence for rendering and navigating virtual reality environments; providing online non-downloadable computer software using artificial intelligence and human intelligence for the production of speech, text, images, sound, and numerical calculations; providing online non-downloadable computer software using artificial intelligence, artificially intelligent bots, virtual agents and virtual assistants for aggregation, compilation, processing and analysis of data and information in the fields of finance, accounting, payments, project management; providing online non-downloadable computer software which takes automated actions on behalf of a user, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for accounting, bookkeeping, tax preparation, planning, and filing, project management, business process management, financial planning and management, personal and business finance, financial transaction processing and management; providing online non-downloadable computer software for creating, customizing, and managing of invoices, recording payments, and issuing receipts; providing online non-downloadable computer software for credit card invoicing and credit card payment processing, transaction processing, point of sale transactions; providing online non-downloadable computer software for customer relationship management; providing online non-downloadable software for inventory management, operation management, retail management, enterprise resource planning (ERP); providing online non-downloadable computer software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; providing online non-downloadable computer software for online bill payments; providing online non-downloadable computer software for providing financial tools and financial advice; providing online non-downloadable computer software for providing online banking and managing online bank accounts; providing online non-downloadable computer software for use in organizing, servicing, tracking, and creating reports of sales, expenses, invoices, payments, collections, accounts payable, and receivables data; providing online non-downloadable computer software that enables communication between financial, business and tax professionals and customers; providing online non-downloadable computer software that enables multiple users to screen share and communicate for use in providing assistance with regard to finance, accounting, and taxes; providing online non-downloadable computer software for marketing services, namely, supporting and managing the creation, sending, optimizing and targeting of bulk electronic mail, advertising and promotional campaigns and surveys, and for promotion of e-commerce web sites; electronic credit monitoring; providing online non-downloadable computer software for monitoring consumers' credit scores, reports, and alerts; providing online non-downloadable computer software used for multiple user online communication, real-time collaboration, and document sharing; providing online non-downloadable software for tracking time worked by employees and subcontractors; providing online, non-downloadable computer software for human resource management, payroll services, management of employee benefits, insurance plans, workers' compensation plans, and retirement plans; providing temporary use of online, non-downloadable business management computer software for health care practice management; providing online non-downloadable software for artificial intelligence processing and machine learning; application service provider (ASP) featuring application programming interface (API) software featuring artificial intelligence and human intelligence and machine learning features and capabilities; providing online non-downloadable computer software tools for software development; research, design, and development in the field of artificial intelligence and artificial intelligence software.

Produits et services

Downloadable artificial intelligence software for enabling interaction and communication between humans and machines, humans and software, humans and other humans, machines and other machines, software and other software, and between and among machines and software applications and operating systems; downloadable computer software for use in providing information and advice using a hybrid of artificial intelligence and human intelligence; downloadable computer software for generative artificial intelligence and human intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for knowledge engineering, namely, software for use in creating rules to apply to data to imitate the thought process of a human expert; downloadable computer chatbot software for simulating conversations; downloadable computer search engine software; downloadable computer software featuring artificial intelligence and human intelligence and machine learning features and capabilities; downloadable computer software featuring artificial intelligence and human intelligence for use in processing physical commands; downloadable computer software featuring artificial intelligence and human intelligence for use in processing voice commands, searching databases, and creating audio, images, textual, and numeric responses to user-specific inquiries; downloadable computer software featuring artificially intelligent bots, virtual agents, virtual assistants, chatbots, and live chat; downloadable computer software for artificial intelligence and human intelligence processing and machine learning to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for automated analysis of data and for producing automated insights; downloadable computer software for automated analysis of large datasets to enable decision-making; downloadable computer software for automatically analyzing data to enable reporting, behavioral analysis and trend analysis; downloadable computer software for automatically categorizing data; downloadable computer software for automation of actions on behalf of a user, a machine, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for automation of business and personal tasks; downloadable computer software for designing and creating computerized virtual agents, virtual assistants, chatbots, and live chat; downloadable computer software for enabling interaction and communication between humans and AI (artificial intelligence); downloadable computer software for enabling multimodal natural language, speech, text, numerical, image, video, and sound data inputs; downloadable computer software for enabling sentiment analysis; downloadable computer software for facilitating interaction and communication between users and artificial intelligence platforms, systems, and applications, including but not limited to chatbots, virtual agents, virtual assistants, and conversational agents, using machine learning; downloadable computer software for multi-modal machine learning-based language, text, speech, images, sound, and numerical calculation data processing; downloadable computer software for producing automated reminders and recommendations; downloadable computer software for use in data management, data analysis, artificial Intelligence, business intelligence, digital virtual agents, chatbots, live chat, predictive systems, machine learning, natural language processing, and deep learning algorithms; downloadable computer software for use in performing predictive data analysis; downloadable computer software for use in performing predictive data analysis, recommendations, personalization, automatic data understanding, automatic rules generation, and automatic software code generation to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for use in processing and generating natural language queries; downloadable computer software to match users with virtual agents and live experts in the fields of finance, accounting, payments, project management; downloadable computer software using artificial intelligence and human intelligence for rendering and navigating virtual reality environments; downloadable computer software using artificial intelligence and human intelligence for the production of speech, text, images, sound, and numerical calculations; downloadable computer software using artificial intelligence, artificially intelligent bots, virtual agents and virtual assistants for aggregation, compilation, processing and analysis of data and information in the fields of finance, accounting, payments, project management; downloadable computer software which takes automated actions on behalf of a user, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for accounting, bookkeeping, financial and business transaction processing management, financial and business transaction management, personal finance, business finance, tax preparation and tax planning, business process management, and financial planning; downloadable computer software for customer relationship management; downloadable computer software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; downloadable computer software for marketing services and marketing automation, namely, supporting and managing the creation, sending, optimizing and targeting of bulk electronic mail, advertising and promotional campaigns and surveys, and for promotion of e-commerce web sites; downloadable computer software for monitoring consumers' credit scores, reports, and alerts; downloadable computer software for providing financial tools and financial advice; downloadable computer software for use in customer relationship management (CRM); downloadable computer software for inventory management, operation management, retail management, enterprise resource planning (ERP); downloadable computer software that enables communication between financial, business and tax professionals and customers; downloadable computer software that enables multiple users to screen share and communicate for use in providing remote tax, business, and financial consulting and advice; downloadable computer software used for multiple-user online communication, real-time collaboration, and document sharing; downloadable computer software for tracking time worked by employees and subcontractors; downloadable computer software for transaction processing, point of sale transactions, invoicing, credit card payment processing, online banking; downloadable computer software for human resource management, payroll services, management of employee benefit plans, insurance plans, health care plans, workers' compensation plans, and retirement plan; downloadable business management computer software for health care practice management; downloadable software for artificial intelligence processing and machine learning; downloadable application programming interface (API) software featuring artificial intelligence and human intelligence and machine learning features and capabilities; downloadable computer software tools for software development Accounting and bookkeeping services; advertising, promotion, and marketing services in the nature of email campaigns for others; business consulting services; business information and accounting advisory services; business invoicing services; business management services, namely, providing human resource department services for others featuring payroll preparation, payroll tax calculation, payroll tax filing, and employee benefit planning; business services, namely, assisting users to find and engage with virtual agents and live experts in the fields of finance, accounting, payments, and project management; consultation and advisory services in the field of taxes, namely, tax calculation, tax planning, tax return preparation, tax refund, tax management, preparation of tax forms, and tax return filing; consultation, advisory, and assessment services with regard to accounting and taxes, namely, accounting consultation, accounting advisory services, tax consultation, tax advisory services, and tax assessment; electronic tax filing services; monitoring of consumers' credit reports; online business and personnel management services; providing an online portal to match users with virtual agents and live experts in the fields of finance, accounting, payments and project management; providing business advice and business information relating to finance, accounting, tax planning, tax filing, business invoicing, marketing, loans, and credit monitoring; providing human resource department services and employee benefit planning; providing information concerning accounting, taxes, tax calculation, tax planning, tax return preparation, tax refunds, tax management, preparation of tax forms, and tax returns filing Financial services; consultation, advisory, analysis, and assistance services with regard to taxes and financial management; administration of employee benefits for others; electronic banking and payment services; electronic bill presentment for others; electronic financial transaction services; electronic fund transfer services; finance information services; provision of information relating to financial matters, insurance, banking, investments, shares, credit card services, and tax Providing online non-downloadable artificial intelligence software for enabling interaction and communication between humans and machines, humans and software, humans and other humans, machines and other machines, software and other software, and between and among machines and software applications and operating systems; providing online non-downloadable computer software for use in providing information and advice using a hybrid of artificial intelligence and human intelligence; providing online non-downloadable computer software for generative artificial intelligence and human intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for generative artificial intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for knowledge engineering, namely, software for use in creating rules to apply to data to imitate the thought process of a human expert; providing online non-downloadable computer chatbot software for simulating conversations; providing online non-downloadable computer search engine software; providing online non-downloadable computer software featuring artificial intelligence and human intelligence and machine learning features and capabilities; providing online non-downloadable computer software featuring artificial intelligence and human intelligence for use in processing physical commands; providing online non-downloadable computer software featuring artificial intelligence and human intelligence for use in processing voice commands, searching databases and creating audio, images, textual and numeric responses to user-specific inquiries; providing online non-downloadable computer software featuring artificially intelligent bots, virtual agents, virtual assistants, chatbots, and live chat; providing online non-downloadable computer software for artificial intelligence and human intelligence processing and machine learning to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for automated analysis of data and for producing automated insights; providing online non-downloadable computer software for automated analysis of large datasets to enable decision-making; providing online non-downloadable computer software for automatically analyzing data to enable reporting, behavioral analysis and trend analysis; providing online non-downloadable computer software for automatically categorizing data; providing online non-downloadable computer software for automation of actions on behalf of a user, a machine, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for automation of business and personal tasks; providing online non-downloadable computer software for designing and creating computerized virtual agents, virtual assistants, chatbots, and live chat; providing online non-downloadable computer software for enabling interaction and communication between humans and AI (artificial intelligence); providing online non-downloadable computer software for enabling multi-modal natural language, speech, text, numerical, image, video, and sound data input; providing online non-downloadable computer software for enabling sentiment analysis; providing online non-downloadable computer software for facilitating interaction and communication between users and artificial intelligence platforms, systems, and applications, including but not limited to chatbots, virtual agents, virtual assistants, and conversational agents, using machine learning; providing online non-downloadable computer software for multi-modal machine learning-based language, text, speech, images, sound, and numerical calculation data processing; providing online non-downloadable computer software for producing automated reminders and recommendations; providing online non-downloadable computer software for use in data management, data analysis, artificial Intelligence, business intelligence, digital virtual agents, chatbots, live chat, predictive systems, machine learning, natural language processing, and deep learning algorithms; providing online non-downloadable computer software for use in performing predictive data analysis; providing online non-downloadable computer software for use in performing predictive data analysis, recommendations, personalization, automatic data understanding, automatic rules generation, and automatic software code generation to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for use in processing and generating natural language queries; providing online non-downloadable computer software to match users with virtual agents and live experts in the fields of finance, accounting, and taxes; providing online non-downloadable computer software using artificial intelligence and human intelligence for rendering and navigating virtual reality environments; providing online non-downloadable computer software using artificial intelligence and human intelligence for the production of speech, text, images, sound, and numerical calculations; providing online non-downloadable computer software using artificial intelligence, artificially intelligent bots, virtual agents and virtual assistants for aggregation, compilation, processing and analysis of data and information in the fields of finance, accounting, payments, project management; providing online non-downloadable computer software which takes automated actions on behalf of a user, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for accounting, bookkeeping, tax preparation, planning, and filing, project management, business process management, financial planning and management, personal and business finance, financial transaction processing and management; providing online non-downloadable computer software for creating, customizing, and managing of invoices, recording payments, and issuing receipts; providing online non-downloadable computer software for credit card invoicing and credit card payment processing, transaction processing, point of sale transactions; providing online non-downloadable computer software for customer relationship management; providing online non-downloadable software for inventory management, operation management, retail management, enterprise resource planning (ERP); providing online non-downloadable computer software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; providing online non-downloadable computer software for online bill payments; providing online non-downloadable computer software for providing financial tools and financial advice; providing online non-downloadable computer software for providing online banking and managing online bank accounts; providing online non-downloadable computer software for use in organizing, servicing, tracking, and creating reports of sales, expenses, invoices, payments, collections, accounts payable, and receivables data; providing online non-downloadable computer software that enables communication between financial, business and tax professionals and customers; providing online non-downloadable computer software that enables multiple users to screen share and communicate for use in providing assistance with regard to finance, accounting, and taxes; providing online non-downloadable computer software for marketing services, namely, supporting and managing the creation, sending, optimizing and targeting of bulk electronic mail, advertising and promotional campaigns and surveys, and for promotion of e-commerce web sites; electronic credit monitoring; providing online non-downloadable computer software for monitoring consumers' credit scores, reports, and alerts; providing online non-downloadable computer software used for multiple user online communication, real-time collaboration, and document sharing; providing online non-downloadable software for tracking time worked by employees and subcontractors; providing online, non-downloadable computer software for human resource management, payroll services, management of employee benefits, insurance plans, workers' compensation plans, and retirement plans; providing temporary use of online, non-downloadable business management computer software for health care practice management; providing online non-downloadable software for artificial intelligence processing and machine learning; application service provider (ASP) featuring application programming interface (API) software featuring artificial intelligence and human intelligence and machine learning features and capabilities; providing online non-downloadable computer software tools for software development; research, design, and development in the field of artificial intelligence and artificial intelligence software

Produits et services

Downloadable artificial intelligence software for enabling interaction and communication between humans and machines, humans and software, humans and other humans, machines and other machines, software and other software, and between and among machines and software applications and operating systems; downloadable computer software for use in providing information and advice using a hybrid of artificial intelligence and human intelligence; downloadable computer software for generative artificial intelligence and human intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for knowledge engineering, namely, software for use in creating rules to apply to data to imitate the thought process of a human expert; downloadable computer chatbot software for simulating conversations; downloadable computer search engine software; downloadable computer software featuring artificial intelligence and human intelligence and machine learning features and capabilities; downloadable computer software featuring artificial intelligence and human intelligence for use in processing physical commands; downloadable computer software featuring artificial intelligence and human intelligence for use in processing voice commands, searching databases, and creating audio, images, textual, and numeric responses to user-specific inquiries; downloadable computer software featuring artificially intelligent bots, virtual agents, virtual assistants, chatbots, and live chat; downloadable computer software for artificial intelligence and human intelligence processing and machine learning to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for automated analysis of data and for producing automated insights; downloadable computer software for automated analysis of large datasets to enable decision-making; downloadable computer software for automatically analyzing data to enable reporting, behavioral analysis and trend analysis; downloadable computer software for automatically categorizing data; downloadable computer software for automation of actions on behalf of a user, a machine, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for automation of business and personal tasks; downloadable computer software for designing and creating computerized virtual agents, virtual assistants, chatbots, and live chat; downloadable computer software for enabling interaction and communication between humans and AI (artificial intelligence); downloadable computer software for enabling multimodal natural language, speech, text, numerical, image, video, and sound data inputs; downloadable computer software for enabling sentiment analysis; downloadable computer software for facilitating interaction and communication between users and artificial intelligence platforms, systems, and applications, including but not limited to chatbots, virtual agents, virtual assistants, and conversational agents, using machine learning; downloadable computer software for multi-modal machine learning-based language, text, speech, images, sound, and numerical calculation data processing; downloadable computer software for producing automated reminders and recommendations; downloadable computer software for use in data management, data analysis, artificial Intelligence, business intelligence, digital virtual agents, chatbots, live chat, predictive systems, machine learning, natural language processing, and deep learning algorithms; downloadable computer software for use in performing predictive data analysis; downloadable computer software for use in performing predictive data analysis, recommendations, personalization, automatic data understanding, automatic rules generation, and automatic software code generation to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for use in processing and generating natural language queries; downloadable computer software to match users with virtual agents and live experts in the fields of finance, accounting, payments, project management; downloadable computer software using artificial intelligence and human intelligence for rendering and navigating virtual reality environments; downloadable computer software using artificial intelligence and human intelligence for the production of speech, text, images, sound, and numerical calculations; downloadable computer software using artificial intelligence, artificially intelligent bots, virtual agents and virtual assistants for aggregation, compilation, processing and analysis of data and information in the fields of finance, accounting, payments, project management; downloadable computer software which takes automated actions on behalf of a user, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; downloadable computer software for accounting, bookkeeping, financial and business transaction processing management, financial and business transaction management, personal finance, business finance, tax preparation and tax planning, business process management, and financial planning; downloadable computer software for customer relationship management; downloadable computer software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; downloadable computer software for marketing services and marketing automation, namely, supporting and managing the creation, sending, optimizing and targeting of bulk electronic mail, advertising and promotional campaigns and surveys, and for promotion of e-commerce web sites; downloadable computer software for monitoring consumers' credit scores, reports, and alerts; downloadable computer software for providing financial tools and financial advice; downloadable computer software for use in customer relationship management (CRM); downloadable computer software for inventory management, operation management, retail management, enterprise resource planning (ERP); downloadable computer software that enables communication between financial, business and tax professionals and customers; downloadable computer software that enables multiple users to screen share and communicate for use in providing remote tax, business, and financial consulting and advice; downloadable computer software used for multiple-user online communication, real-time collaboration, and document sharing; downloadable computer software for tracking time worked by employees and subcontractors; downloadable computer software for transaction processing, point of sale transactions, invoicing, credit card payment processing, online banking; downloadable computer software for human resource management, payroll services, management of employee benefit plans, insurance plans, health care plans, workers’ compensation plans, and retirement plan; downloadable business management computer software for health care practice management; downloadable software for artificial intelligence processing and machine learning; downloadable application programming interface (API) software featuring artificial intelligence and human intelligence and machine learning features and capabilities; downloadable computer software tools for software development. Accounting and bookkeeping services; advertising, promotion, and marketing services in the nature of email campaigns for others; business consulting services; business information and accounting advisory services; business invoicing services; business management services, namely, providing human resource department services for others featuring payroll preparation, payroll tax calculation, payroll tax filing, and employee benefit planning; business services, namely, assisting users to find and engage with virtual agents and live experts in the fields of finance, accounting, payments, and project management; consultation and advisory services in the field of taxes, namely, tax calculation, tax planning, tax return preparation, tax refund, tax management, preparation of tax forms, and tax return filing; consultation, advisory, and assessment services with regard to accounting and taxes, namely, accounting consultation, accounting advisory services, tax consultation, tax advisory services, and tax assessment; electronic tax filing services; monitoring of consumers' credit reports; online business and personnel management services; providing an online portal to match users with virtual agents and live experts in the fields of finance, accounting, payments and project management; providing business advice and business information relating to finance, accounting, tax planning, tax filing, business invoicing, marketing, loans, and credit monitoring; providing human resource department services and employee benefit planning; providing information concerning accounting, taxes, tax calculation, tax planning, tax return preparation, tax refunds, tax management, preparation of tax forms, and tax returns filing. Financial services; consultation, advisory, analysis, and assistance services with regard to taxes and financial management; administration of employee benefits for others; electronic banking and payment services; electronic bill presentment for others; electronic financial transaction services; electronic fund transfer services; finance information services; provision of information relating to financial matters, insurance, banking, investments, shares, credit card services, and tax. Providing online non-downloadable artificial intelligence software for enabling interaction and communication between humans and machines, humans and software, humans and other humans, machines and other machines, software and other software, and between and among machines and software applications and operating systems; providing online non-downloadable computer software for use in providing information and advice using a hybrid of artificial intelligence and human intelligence; providing online non-downloadable computer software for generative artificial intelligence and human intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for generative artificial intelligence applications to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for knowledge engineering, namely, software for use in creating rules to apply to data to imitate the thought process of a human expert; providing online non-downloadable computer chatbot software for simulating conversations; providing online non-downloadable computer search engine software; providing online non-downloadable computer software featuring artificial intelligence and human intelligence and machine learning features and capabilities; providing online non-downloadable computer software featuring artificial intelligence and human intelligence for use in processing physical commands; providing online non-downloadable computer software featuring artificial intelligence and human intelligence for use in processing voice commands, searching databases and creating audio, images, textual and numeric responses to user-specific inquiries; providing online non-downloadable computer software featuring artificially intelligent bots, virtual agents, virtual assistants, chatbots, and live chat; providing online non-downloadable computer software for artificial intelligence and human intelligence processing and machine learning to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for automated analysis of data and for producing automated insights; providing online non-downloadable computer software for automated analysis of large datasets to enable decision-making; providing online non-downloadable computer software for automatically analyzing data to enable reporting, behavioral analysis and trend analysis; providing online non-downloadable computer software for automatically categorizing data; providing online non-downloadable computer software for automation of actions on behalf of a user, a machine, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for automation of business and personal tasks; providing online non-downloadable computer software for designing and creating computerized virtual agents, virtual assistants, chatbots, and live chat; providing online non-downloadable computer software for enabling interaction and communication between humans and AI (artificial intelligence); providing online non-downloadable computer software for enabling multi-modal natural language, speech, text, numerical, image, video, and sound data input; providing online non-downloadable computer software for enabling sentiment analysis; providing online non-downloadable computer software for facilitating interaction and communication between users and artificial intelligence platforms, systems, and applications, including but not limited to chatbots, virtual agents, virtual assistants, and conversational agents, using machine learning; providing online non-downloadable computer software for multi-modal machine learning-based language, text, speech, images, sound, and numerical calculation data processing; providing online non-downloadable computer software for producing automated reminders and recommendations; providing online non-downloadable computer software for use in data management, data analysis, artificial Intelligence, business intelligence, digital virtual agents, chatbots, live chat, predictive systems, machine learning, natural language processing, and deep learning algorithms; providing online non-downloadable computer software for use in performing predictive data analysis; providing online non-downloadable computer software for use in performing predictive data analysis, recommendations, personalization, automatic data understanding, automatic rules generation, and automatic software code generation to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for use in processing and generating natural language queries; providing online non-downloadable computer software to match users with virtual agents and live experts in the fields of finance, accounting, and taxes; providing online non-downloadable computer software using artificial intelligence and human intelligence for rendering and navigating virtual reality environments; providing online non-downloadable computer software using artificial intelligence and human intelligence for the production of speech, text, images, sound, and numerical calculations; providing online non-downloadable computer software using artificial intelligence, artificially intelligent bots, virtual agents and virtual assistants for aggregation, compilation, processing and analysis of data and information in the fields of finance, accounting, payments, project management; providing online non-downloadable computer software which takes automated actions on behalf of a user, an application, or operating system to allow users to optimize management of accounting, financial planning, marketing, business, and tax preparation; providing online non-downloadable computer software for accounting, bookkeeping, tax preparation, planning, and filing, project management, business process management, financial planning and management, personal and business finance, financial transaction processing and management; providing online non-downloadable computer software for creating, customizing, and managing of invoices, recording payments, and issuing receipts; providing online non-downloadable computer software for credit card invoicing and credit card payment processing, transaction processing, point of sale transactions; providing online non-downloadable computer software for customer relationship management; providing online non-downloadable software for inventory management, operation management, retail management, enterprise resource planning (ERP); providing online non-downloadable computer software for enabling multiple users to screen share and communicate for use in providing business and financial consulting and advice; providing online non-downloadable computer software for online bill payments; providing online non-downloadable computer software for providing financial tools and financial advice; providing online non-downloadable computer software for providing online banking and managing online bank accounts; providing online non-downloadable computer software for use in organizing, servicing, tracking, and creating reports of sales, expenses, invoices, payments, collections, accounts payable, and receivables data; providing online non-downloadable computer software that enables communication between financial, business and tax professionals and customers; providing online non-downloadable computer software that enables multiple users to screen share and communicate for use in providing assistance with regard to finance, accounting, and taxes; providing online non-downloadable computer software for marketing services, namely, supporting and managing the creation, sending, optimizing and targeting of bulk electronic mail, advertising and promotional campaigns and surveys, and for promotion of e-commerce web sites; electronic credit monitoring; providing online non-downloadable computer software for monitoring consumers' credit scores, reports, and alerts; providing online non-downloadable computer software used for multiple user online communication, real-time collaboration, and document sharing; providing online non-downloadable software for tracking time worked by employees and subcontractors; providing online, non-downloadable computer software for human resource management, payroll services, management of employee benefits, insurance plans, workers’ compensation plans, and retirement plans; providing temporary use of online, non-downloadable business management computer software for health care practice management; providing online non-downloadable software for artificial intelligence processing and machine learning; application service provider (ASP) featuring application programming interface (API) software featuring artificial intelligence and human intelligence and machine learning features and capabilities; providing online non-downloadable computer software tools for software development; research, design, and development in the field of artificial intelligence and artificial intelligence software.

Abrégé

Certain aspects of the present disclosure provide techniques retrieval augmented generation of language model responses using an embedding database. Embeddings for data is stored in an embedding database. When a prompt related to the data is received, relevant embeddings may be retrieved from the database and used generate an augmented prompt based on the initial prompt and the retrieved embeddings from the database. The augmented prompt can be input into a machine learning model. Although the model may be unaware of the data from which the embeddings of the embedding database were generated, the augmented prompt enables the model to use the data to improve breadth and depth of responses.

Classes IPC  ?

• G06F 40/295 - Reconnaissance de noms propres
• G06F 16/34 - NavigationVisualisation à cet effet
• G06F 40/30 - Analyse sémantique

Abrégé

Aspects of the present disclosure provide techniques for maintaining data consistency between a write database and a read database. Embodiments include receiving, via an orchestrator, updated data written to the write database during a write operation occurring after a most recent data sync between the write database and the read database. Embodiments include storing, via the orchestrator, the updated data in a data storage that is separate from the write database and the read database. Embodiments include receiving, via the orchestrator, a request associated with reading the updated data from the read database before a next data sync between the write database and the read database. Embodiments include reading, via the orchestrator and based on receiving the request, the updated data from the data storage. Embodiments include passing the updated data from the orchestrator to the read database.

Classes IPC  ?

• G06F 16/23 - Mise à jour

Abrégé

A method including receiving a query to a retrieval augmented generation (RAG) language model having electronic accesses to a number of potential contexts. A desired selected context is unknown when the query is received. A number of ranking models is executed on the query. Each of the number of ranking models outputs a corresponding candidate context from among the number of potential contexts. A number of vector data structures are generated by transforming, for each output of the number of ranking models, a combination of the query and the corresponding candidate context into a corresponding vector data structure. A predictor model is executed on the number of vector data structures to generate the selected context from among the number of potential contexts. The RAG language model is enhanced by applying the selected context to the RAG language model to generate an enhanced RAG language model.

Classes IPC  ?

• G06F 16/334 - Exécution de requêtes
• G06F 16/31 - IndexationStructures de données à cet effetStructures de stockage

Abrégé

Aspects of the present disclosure relate to automated document processing systems. In particular, embodiments disclosed herein provide an architecture for seamlessly integrating code representations of electronic documents generated by various different extraction systems into a single document processing system. Certain embodiments provide for generating a code representation of an electronic document based on an entity extracted from the electronic document. The code representation includes an entity representation that comprises an index indicator appended to an identifier for the entity, which may comprise a column of items. Some embodiments provide for applying a transformation to the entity representation to produce an intermediate code representation of the electronic document, wherein the transformation comprises a format for entities or a format for entity representations. Certain embodiments provide for generating an updated code representation of the electronic document based on matching indexed item values from the electronic document to the transformed entity representation.

Classes IPC  ?

• G06F 40/151 - Transformation
• G06F 8/40 - Transformation de programme
• G06F 40/103 - Mise en forme, c.-à-d. modification de l’apparence des documents
• G06F 40/177 - Édition, p. ex. insertion ou suppression de tableauxÉdition, p. ex. insertion ou suppression utilisant des lignes réglées

Abrégé

A clustering model clusters multiple LLM prompts through a clustering model to generate multiple clusters. Multiple judge models classify the LLM prompts to obtain multiple predictions for each LLM prompt of the LLM prompts. The predictions are into a first set of security classes corresponding to at least one malicious class and a second set of security classes corresponding to at least one benign class. Multiple sample LLM prompts in a cluster are selected based on a discrepancy amongst the predictions of each sample LLM prompt in the sample LLM prompts. A lead model evaluates the sample LLM prompts to select a judge model of the judge models for the cluster. The selected judge model is assigned to the cluster.

Classes IPC  ?

• G06F 21/00 - Dispositions de sécurité pour protéger les calculateurs, leurs composants, les programmes ou les données contre une activité non autorisée
• G06F 18/241 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques
• G06F 21/55 - Détection d’intrusion locale ou mise en œuvre de contre-mesures
• G06N 3/0895 - Apprentissage faiblement supervisé, p. ex. apprentissage semi-supervisé ou auto-supervisé

Abrégé

Aspects of the present disclosure relate to a decoder model architecture that is optimized for retrieval augmented generation (RAG) applications. Embodiments include a generative machine learning model that comprises one or more hidden decoder layers and an output layer. In certain embodiments, the output layer includes a stop head layer configured to generate, based on a hidden state output generated by a given hidden layer of the one or more hidden decoder layers, a stop output indicating a likelihood of performing a subsequent context retrieval. Some embodiments provide that the output layer includes a softmax head layer parallel to the stop head layer. In certain embodiments, each of the one or more hidden decoder layers and the output layer comprise a plurality of neurons organized in an array, wherein each neuron comprises a register, a microprocessor, and at least one input. The neurons may be connected using synaptic circuitry.

Classes IPC  ?

• G06N 3/0475 - Réseaux génératifs
• G06N 3/048 - Fonctions d’activation
• G06N 3/09 - Apprentissage supervisé

Abrégé

Aspects of the present disclosure relate to automated analytical content generation. Embodiments include receiving data from one or more data sources. Embodiments further include extracting trends from the data using a heuristic algorithm. Embodiments further include providing an input based on the extracted trends to a generative machine learning model that has been configured to generate content based on extracted trends. Embodiments further include receiving, from the generative machine learning model based on the input, content that represents the extracted trends. Embodiments further include displaying the content via a user interface.

Classes IPC  ?

• G06N 3/0475 - Réseaux génératifs
• G06N 3/09 - Apprentissage supervisé
• G06N 3/092 - Apprentissage par renforcement

Abrégé

Aspects of the present disclosure relate to automated document integration. Embodiments include receiving one or more documents from a user. Embodiments further include extracting, using a computer vision machine learning model, a first data item from the one or more documents. Embodiments further include generating a prompt based on a second data item not being present in the one or more documents, wherein the prompt comprises a request for the user to provide the second data item. Embodiments further include receiving, based on the prompt, an additional document from the user. Embodiments further extracting, using the computer vision machine learning model, the second data item from the additional document. Embodiments further include generating, via a particular machine learning model based on the first data item and the second data item, an electronic document that corresponds to a particular format.

Classes IPC  ?

• G06F 40/103 - Mise en forme, c.-à-d. modification de l’apparence des documents
• G06Q 10/10 - BureautiqueGestion du temps
• G06V 20/62 - Texte, p. ex. plaques d’immatriculation, textes superposés ou légendes des images de télévision
• G06V 30/10 - Reconnaissance de caractères

Abrégé

At least one processor may receive network traffic data and group at least a portion of the network traffic data into at least one session according to time correlation of activity by a network entity. The at least one processor may extract a plurality of features indicative of malicious network activity from the at least one session and/or determine at least one entropy feature of the at least one session. The at least one processor may classify the plurality of features and/or the at least one entropy feature with a clustering machine learning (ML) model. In response to the classifying indicating that the at least one session included malicious activity and/or activity corresponding to at least one of a plurality of bot classifications, the at least one processor may block at least a portion of ongoing network traffic from the network entity from reaching at least one destination.

Classes IPC  ?

• H04L 9/40 - Protocoles réseaux de sécurité

Abrégé

A system and method are provided for mitigating catastrophic forgetting in fine-tuned large language models.

Classes IPC  ?

• G06N 3/045 - Combinaisons de réseaux
• G06N 3/048 - Fonctions d’activation

Abrégé

A system and method for dynamic layer quantization in large language models (LLMs) is described. A classifier predicts quantization levels for LLM layers based on input data and current layer output. The system applies these predicted levels to subsequent layers, allowing efficient LLM operation across various devices. This approach may help balance performance and resource use. The system can use federated learning to improve both the LLM and the classifier, potentially adapting better to different devices and uses.

Classes IPC  ?

• G06N 3/0495 - Réseaux quantifiésRéseaux parcimonieuxRéseaux compressés
• G06N 3/091 - Apprentissage actif

Abrégé

Certain aspects of the disclosure provide systems and methods for audio-based form population and verification. Aspects include requesting and receiving a transcript of audio data associated with a form with a data field and a value associated with the data field, from a speech recognition model, wherein the transcript comprises the words spoken in the audio data; and a pair of timestamps associated with each word spoken in the audio data. Then, the data field is mapped to one or more words spoken in the audio data and used to populate the data field with the value.

Classes IPC  ?

• G06F 40/174 - Remplissage de formulairesFusion
• G06F 40/205 - Analyse syntaxique

Abrégé

Certain aspects of the disclosure provide systems and methods for field narration. For example, field narration may be configured to populate and verify a form populated based on audio data. A user interface may send a verification request for the form, including a data field and a value to be verified to a field narrative service. The field narrative service may determine relevant portions of the audio data and the transcript for the value to be verified. The user interface may play the portion of audio data, and display the transcription for verification.

Classes IPC  ?

• G10L 13/08 - Analyse de texte ou génération de paramètres pour la synthèse de la parole à partir de texte, p. ex. conversion graphème-phonème, génération de prosodie ou détermination de l'intonation ou de l'accent tonique
• G06F 40/174 - Remplissage de formulairesFusion

Abrégé

At least one processor may provision a plurality of edge retrieval-augmented generation (RAG) datasets each containing a respective incomplete subset of a core RAG dataset and each being associated with a respective one of a plurality of user groups. The at least one processor may receive a request for processing using RAG from a user of one of the plurality of user groups. The at least one processor may process the request using the edge RAG dataset associated with the one of the plurality of user groups and provide a result of the processing to the user.

Classes IPC  ?

• G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur

Classes IPC  ?

• G06F 18/241 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques
• G06F 18/2431 - Classes multiples
• G06N 3/042 - Réseaux neuronaux fondés sur la connaissanceReprésentations logiques de réseaux neuronaux

Abrégé

A computer-implemented method involves receiving input with information about treatments for targets. A large language model (LLM) agent identifies tools for configuring treatments, selecting targets, and allocating treatments. The LLM agent generates and provides application programming interface (API) inputs to the tools. The LLM agent receives results from the tools, determines if the results satisfy a condition, and outputs an indication based on the results. The method includes generating computer code for treatments, applying treatments, and performing statistical analysis. The system iteratively adjusts treatments, targets, or allocations until conditions are met. The system identifies ambiguities and obtains clarifications, training the LLM agent accordingly. The processing system includes memory and processors to execute instructions, receive input, identify tools, generate API inputs, provide inputs to tools, receive results, determine conditions, and output indications.

Classes IPC  ?

• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G16H 20/00 - TIC spécialement adaptées aux thérapies ou aux plans d’amélioration de la santé, p. ex. pour manier les prescriptions, orienter la thérapie ou surveiller l’observance par les patients

Abrégé

Aspects of the disclosure provide techniques for defining communication parameters. A method includes obtaining input information relating to a communication source and a set of communication targets; generating, in accordance with a target function that indicates a set of constraints to be satisfied by a set of communication parameters, the set of communication parameters for communications from the communication source to the set of communication targets, the generating including: performing a linear programming operation to generate one or more first communication parameters of the set of communication parameters based on the set of constraints, and performing a mixed-integer programming operation to generate one or more second communication parameters of the set of communication parameters based on the set of constraints, wherein the set of communication parameters is based on a predictive model configured to predict a behavior of the set of communication targets; and providing the set of communication parameters.

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique
• G06Q 10/04 - Prévision ou optimisation spécialement adaptées à des fins administratives ou de gestion, p. ex. programmation linéaire ou "problème d’optimisation des stocks"
• G06Q 50/50 - Procédés d’affaires s’appliquant à l’industrie des télécommunications

Classes IPC  ?

• G06N 20/00 - Apprentissage automatique
• G06Q 10/0639 - Analyse des performances des employésAnalyse des performances des opérations d’une entreprise ou d’une organisation
• G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives
• G06Q 40/12 - Comptabilité

Abrégé

A method includes transmitting a prompt to a large language model (LLM). The prompt includes an instruction to generate a first reasoning block. The method further includes computing a first token-level confidence score for the first reasoning block. The method further includes generating, by the LLM, a second reasoning block responsive to the first token-level confidence score failing to satisfy a pruning threshold. The method further includes computing a second token-level confidence score for the second reasoning block. Responsive to the second token-level confidence score satisfying the pruning threshold, the second reasoning block is added to a reasoning trace. The method further includes generating a provisional answer from the reasoning trace, responsive to the second token-level confidence score satisfying a block confidence threshold.

Classes IPC  ?

• G06F 40/40 - Traitement ou traduction du langage naturel
• G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
• H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel

Abrégé

Importance aware selective correction for speculative decoding in large models include obtaining, via a prompt interface, an input prompt to a large model (LM) and intercepting the input prompt by a draft model. The draft model generates a set of output tokens in response to the input prompt. The LM may accept or reject the set of output tokens. A pivotal model classifies the set as trivial or pivotal. If trivial, the set of output tokens are transmitted on a communications network based on being classified as trivial regardless being rejected. If pivotal, then the LLM regenerates the set and the regenerated set is transmitted.

Classes IPC  ?

• G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
• G06F 40/40 - Traitement ou traduction du langage naturel
• G06N 3/0499 - Réseaux à propagation avant

Abrégé

Certain aspects provide a computer-implemented method for enhancing generative retrieval of content in response to user queries. The method includes generating a first prompt configured to cause a first language model (LM) to generate a set of synthetic queries related to a content dataset selected from a content database and transmitting, to the first LM, the content dataset and the first prompt as a first input. A first output comprising the set of synthetic queries is received from the first LM. A second prompt configured to cause a second LM to determine a subset of synthetic queries is generated and transmitted, to the second LM, with the set of synthetic queries as a second input. A second output comprising the subset of synthetic queries is received from the second LM. The content databased is then updated storing the subset of synthetic queries in the content database.

Classes IPC  ?

• G06F 16/2453 - Optimisation des requêtes
• G06F 40/40 - Traitement ou traduction du langage naturel

Abrégé

A method includes obtaining an expert availability forecasting model including at least a first time slot, a multitude of available experts corresponding to the at least first time slot, and a predicted customer demand corresponding to the at least first time slot. An expert allocation model is generated, including a first set of available experts allocated to the at least first time slot based on the expert availability forecasting model. A first set of customers is selected, corresponding to the predicted customer demand. The first set of customers is matched to the corresponding first set of available experts in the at least first time slot, based on the expert allocation model, to obtain a customer-expert allocation schedule. The method further includes transmitting the customer-expert allocation schedule to a performance analytics dashboard. The method further includes monitoring at least one data source for at least one expert availability event.

Classes IPC  ?

• G06Q 10/0631 - Planification, affectation, distribution ou ordonnancement de ressources d’entreprises ou d’organisations
• G06Q 30/0202 - Prédictions ou prévisions du marché pour les activités commerciales

Abrégé

A method including receiving data contents stored in a structured language data structure. The method also includes executing a language model with a prompt to generate an output including a predicted complexity of the data contents. The prompt includes a first command to the language model to predict the predicted complexity according to a standard defined outside the structured language data structure. The prompt also includes a second command to the language model to reference a context when the language model executes the first command. The context includes the standard. The method also includes returning the predicted complexity as output of the language model.

Classes IPC  ?

• G06F 40/40 - Traitement ou traduction du langage naturel
• G06Q 40/12 - Comptabilité

Abrégé

Aspects of the present disclosure relate to automated content modality transformation. Embodiments include receiving content that corresponds to a particular modality. Embodiments further include providing the content as input to a generative machine learning model that has been trained to generate versions of provided content items that correspond to a target modality. Embodiments further include receiving, as an output from the generative machine learning model, a new version of the content that corresponds to the target modality. Embodiments further include providing the content and the new version of the content as input to a given machine learning model that is trained to generate a confidence score that indicates a likelihood that the new version is an accurate representation of the content in the target modality. Embodiments further include performing one or more actions involving the new version of the content based on the confidence score.

Classes IPC  ?

• G06N 3/09 - Apprentissage supervisé

Abrégé

Certain aspects provide a computer-implemented method for automatically refactoring source code according to a target condition. The method includes identifying a current condition and a source code snippet from the source code of a software application. A context file and a tokenized file are generated based on the source code. A context file segment that corresponds to the source code snippet is identified from the context file. A refactoring prompt configured to cause a language model (LM) to refactor source code according to a target condition is generated and provided, along with the context file segment to the LM as input. A refactored source code snippet comprising at least one logic statement in the source code snippet that is modified according to the target condition using the context file segment and the refactoring prompt is received from the LM. A final refactored source code is then generated.

Classes IPC  ?

• G06F 8/72 - Refonte de code
• G06F 8/41 - Compilation
• G06F 8/60 - Déploiement de logiciel

Abrégé

Aspects of the present disclosure relate to generating linguistically calibrated outputs in machine learning models. Embodiments include detecting, by a machine learning model, a native language of a user based on one or more inputs in a target language. Embodiments further include determining, by the machine learning model, a social distance score for the native language relative to the target language if a probability associated with the native language is above a threshold value. Embodiments further include generating, by the machine learning model, a calibrated response to the one or more inputs based on analyzing the social distance score, wherein the calibrated response is in the target language. Embodiments further include providing, by the machine learning model, the calibrated response as an output.

Classes IPC  ?

• G06F 40/263 - Identification de la langue

Abrégé

Certain aspects of the disclosure provide techniques for dynamically tuning a creativity of a language model (LM) comprising a pre-trained model and a creativity head. An example method includes: randomly initializing parameters of the creativity head, freezing all parameters of the pre-trained model; and fine-tuning the creativity of the LM by adjusting parameters of the creativity head using a training dataset configured to increase a likelihood of outputting one or more creative tokens as output from the LM, wherein at least one dynamic parameter is configured to adjust a token probability distribution output by a processing layer of the LM to generate an adjusted token probability distribution associated with a set of tokens and at least one additional dynamic parameter is configured to filter the set of tokens to generate a subset of tokens from which the new token is selected.

Classes IPC  ?

• G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
• G06F 16/335 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d’utilisateurs ou de groupes

Abrégé

Certain aspects of the disclosure provide techniques for language model token prediction. A method generally includes processing an input token sequence to generate, for each respective token position of a plurality of token positions in an output token sequence: a probability distribution for a set of candidate output tokens associated with the respective token position; and an entropy score based on the probability distribution; for each respective token position, determining whether the entropy score satisfies a current adaptive entropy threshold, which is based on the entropy score associated with each respective token position; based on the determination for each respective token position, performing a decoding operation comprising: a set block decoding operation or a single-token decoding operation to generate one or more output tokens that correspond to one or more token positions; and generating a first version of the output token sequence including the one or more output tokens.

Classes IPC  ?

• G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence

Abrégé

A method for training a language model including executing, a number of times, a training step. The training step includes executing, on a prompt, a preferred output, and a non-preferred output, a reference language model to generate a reference score and a policy score. A loss function includes a combination of the policy score and the reference score, and a hyperparameter that modifies the combination of the policy score and the reference score. The hyperparameter includes a variable term, α, that varies with a number of training steps performed. An updated parameter is generated from the loss. The language model is updated by adjusting an initial parameter of the training language model to the updated parameter. The method also includes returning, after convergence, the updated language model as the improved language model.

Classes IPC  ?

• G06N 3/0985 - Optimisation d’hyperparamètresMeta-apprentissageApprendre à apprendre

Abrégé

A method includes obtaining, by a server computing system, multiple source records from one or more source computing systems, processing, by a propensity model corresponding to each of multiple matching engines, the source records to obtain multiple sets of predicted execution statistics for the matching engines, and executing, by the server computing system, an optimization function using sets of predicted execution statistics to select a matching engine for each of the source records to obtain a selected matching engine for a corresponding source record. The method further includes processing, by the selected matching engine, the corresponding source record with multiple target records to identify a matching target record for each source record and relating the matching target record to the corresponding source record in a record repository.

Classes IPC  ?

• G06N 5/025 - Extraction de règles à partir de données

Abrégé

A method including receiving an electronic form including a structured language data structure storing form data in fields. A prompt is generated, including text for commanding a language model to compare a context to the structured language data structure to generate a comparison, and to identify, based on the comparison, an anomaly between the context and the structured language data structure. A field is mapped to the anomaly. The structured language data structure is modified to generate a modified structured language data structure. Modifying includes adding computer code to the structured language data structure. The computer code is programmed, when executed, to add a selectable link to the field based on at least one of the anomaly, the structured language data structure, and the field. The selectable link, when selected, launches an application. The modified structured language data structure is rendered on a display device together with the selectable link.

Classes IPC  ?

• G06F 16/34 - NavigationVisualisation à cet effet
• G06F 3/04842 - Sélection des objets affichés ou des éléments de texte affichés

Abrégé

includes obtaining a document graph of a first document, and a document graph of a second document. The document graphs include a sequence of page entities and layout entities. The page entities and layout entities include comparison units. The operations further include processing the document graphs to identify at least one comparison unit of the second document graph as a changed comparison unit with respect to the first document graph and generating a prompt to a large language model (LLM) including changed comparison units as inputs and instructions to identify the inputs to be programmatically implemented as software code changes, and to generate a natural language change summary of the identified inputs. The operations further include displaying, in a web interface of a document comparison application, the changed comparison units, and natural language change summary obtained from the LLM.

Classes IPC  ?

• G06F 40/194 - Calcul de la différence entre fichiers
• G06F 16/34 - NavigationVisualisation à cet effet
• G06F 16/901 - IndexationStructures de données à cet effetStructures de stockage

Abrégé

A large language model (LLM) can receive input data and process the input data. The processing can include generating a response to the input data, generating a first memory entry corresponding to the input data, generating a second memory entry corresponding to the response, and generating a relationship between the first memory entry and the second memory entry. Memory entries and relationships can be stored in a graph memory structure. Processing can include accessing the graph memory structure, searching the graph memory structure for information associated with at least a portion of the input data and obtaining a search result comprising at least one of the at least two nodes and the at least one edge, and generating a response to the input data.

Classes IPC  ?

• G06F 16/245 - Traitement des requêtes
• G06F 16/248 - Présentation des résultats de requêtes
• G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet

Abrégé

A method including receiving a number of results to a query. The method also includes interweaving execution of regular expressions and prompts on the number of results. Interweaving removes negative results from the number of results. Interweaving continues until a stop condition is satisfied. Interweaving generates, after the stop condition is satisfied, final results including a subset of the number of results including positive results to the query. The regular expressions are executed by a processor. The prompts are executed by a language model being executed by the processor. The method also includes returning the final results.

Classes IPC  ?

• G06F 16/903 - Requêtes

Abrégé

A method including receiving a complex data structure including a combination of text and an arithmetic function. A normalized data structure is generated by normalizing the complex data structure against a static data structure schema. A numerical solver processes the arithmetic function to generate a function output. A prompt is generated by embedding the function output and the normalized data structure into a template prompt. The template prompt includes a first command to a language model to identify a contextual error in the normalized data structure. The template prompt also includes a context that defines a constraint applicable to the complex data structure. The template prompt also includes a second command to generate a model output formatted according to the static data structure schema. The model output includes the contextual error. The model output is generated by processing the prompt with the language model. The model output is returned.

Classes IPC  ?

• G06F 40/40 - Traitement ou traduction du langage naturel

Abrégé

Systems and methods for bounding transactions are disclosed herein. An example method may be performed by one or more processors of a computing system. In some implementations, the example method may include obtaining, at a source component, a set of change events, each change event associated with one of a plurality of unique identifiers and one of a plurality of transactions. The example method may also include partitioning, using the source component, the set of change events into a plurality of partitions of a staging queue based on the unique identifiers. The example method may also include generating, using a distributed sink component that parallelly processes the set of change events from the staging queue, a bounded list indicating, for each respective transaction processed for each partition, a start boundary for the respective transaction, the change events associated with the respective transaction, and an end boundary for the respective transaction.

Classes IPC  ?

• G06F 16/23 - Mise à jour
• G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet

Abrégé

Systems and methods for resolving open transactions are disclosed herein. An example method may be performed by one or more processors of a computing system. In some implementations, the method includes obtaining, at a source component, a set of change events, each respective change event including metadata indicating a type of the respective change event and a unique identifier for the respective change event, selectively publishing, at the source component, the change events to a staging queue based on the types and the unique identifiers, selectively generating, at a sink component that extracts the change events from the staging queue, boundaries for transactions associated with the change events based on the types and unique identifiers, and publishing, in a target queue, a bounded list indicating, for each of the transactions, a start boundary for the transaction, the change events associated with the transaction, and an end boundary for the transaction.

Classes IPC  ?

• G06Q 20/10 - Architectures de paiement spécialement adaptées aux systèmes de transfert électronique de fondsArchitectures de paiement spécialement adaptées aux systèmes de banque à domicile

Abrégé

Combining a large language model (LLM) with rules engine processing includes obtaining a document, extracting a set of attributes from the document to obtain a set of extracted attributes, and selecting, from government rules, a set of government rules based on the set of extracted attributes. The method further includes the LLM processing the set of extracted attributes and the set of government rules to obtain an LLM identified class for the document. A rules engine applying software rules corresponding to the government rules processes the set of extracted attributes according to the LLM identified class to obtain a government rule defined amount. The government rule defined amount is presented.

Classes IPC  ?

• G06F 18/2413 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques basées sur les distances des motifs d'entraînement ou de référence

Abrégé

At least one processor can receive a text input from a user interface (UI) comprising at least a portion of a prompt to a large language model (LLM). The at least one processor can classify the text input as having a negative sentiment classification using a machine learning (ML) model configured to classify inputs according to expected user sentiments in reaction to an LLM response, the ML model being configured to classify the inputs from available classifications including at least a positive sentiment classification and one or more available negative sentiment classifications. In response to the classifying, the at least one processor can prevent input of the prompt to the LLM, determine information to add to the prompt to change the negative sentiment classification to the positive sentiment classification, and cause the UI to display a reply requesting the information to add to the prompt.

Classes IPC  ?

• G06F 16/35 - PartitionnementClassement
• G06F 40/20 - Analyse du langage naturel

Abrégé

At least one processor may receive conversation data comprising a user input and a response to the user input generated by a large language model (LLM). The at least one processor may detect a behavior gap between the conversation data and at least one test conversation data comprising human-to-human communication samples. Based on the behavior gap, the at least one processor may retrain the LLM and/or provide an alternative response workflow for responding to the user input.

Classes IPC  ?

• G06F 40/35 - Représentation du discours ou du dialogue
• G06F 40/30 - Analyse sémantique
• G06N 20/00 - Apprentissage automatique
• H04L 51/02 - Messagerie d'utilisateur à utilisateur dans des réseaux à commutation de paquets, transmise selon des protocoles de stockage et de retransmission ou en temps réel, p. ex. courriel en utilisant des réactions automatiques ou la délégation par l’utilisateur, p. ex. des réponses automatiques ou des messages générés par un agent conversationnel
• H04L 51/216 - Gestion de l'historique des conversations, p. ex. regroupement de messages dans des sessions ou des fils de conversation

Abrégé

Aspects of the disclosure provide a method for profile matching including receiving a first user input comprising one or more assistant attributes; generating an assistant profile; matching the assistant profile to a target user profile and a task; receiving interaction data between the assistant user and a target user; receiving a second user input comprising feedback about the assistant user completing the task; generating a prompt comprising a set of instructions for a language model to generate a feature set associated with the assistant user; providing the prompt, the first user input, the interaction data, and the second user input to the language model; receiving the feature set associated with the assistant user from the language model; generating an updated assistant profile; and matching the updated assistant profile with a new target user profile associated with a new target user and a new task.

Classes IPC  ?

• G06F 40/40 - Traitement ou traduction du langage naturel
• G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation

Abrégé

Disclosed herein are system, method, apparatus, and computer-readable medium embodiments for filtering data for direct preference optimization training via answer similarity using language model embeddings. A system inputs an accepted question-response pair and a rejected question-response pair into a language model. The system extracts a first embedding for the accepted question-response pair and a second embedding for the rejected question-response pair from the language model. Using the first embedding and the second embedding, the system further computes a similarity score for the accepted question-response pair and the rejected question-response pair. Finally, based on the similarity score satisfying a threshold, the system includes the rejected question-response pair in a dataset and trains the language model using the dataset.

Classes IPC  ?

• G06N 5/02 - Représentation de la connaissanceReprésentation symbolique
• G06N 3/045 - Combinaisons de réseaux
• G06N 3/0455 - Réseaux auto-encodeursRéseaux encodeurs-décodeurs
• G06N 3/0895 - Apprentissage faiblement supervisé, p. ex. apprentissage semi-supervisé ou auto-supervisé
• G06N 5/04 - Modèles d’inférence ou de raisonnement

Abrégé

A method of overcoming a token limit of a language model when converting an existing computer executable code to a modified computer executable code. The method includes generating a code segment from the existing computer executable code. The code segment is generated to be within the token limit. The method also includes identifying a prompt that instructs the language model to generate the modified computer executable code. The prompt includes a system command instructing the language model to convert the code segment to the modified computer executable code. The prompt also includes the code segment. The prompt also includes a map defining a mapping between the code segment and the modified computer executable code. The method also includes processing the language model on the prompt to output the modified computer executable code. The method also includes returning the modified computer executable code.

Classes IPC  ?

• G06F 8/41 - Compilation
• G06F 40/40 - Traitement ou traduction du langage naturel

Abrégé

Aspects of the present disclosure provide techniques for machine learning based disambiguation. Embodiments include receiving a query via a user interface; generating an enriched query by rewording the query based on conversation history data associated with the query. Embodiments include retrieving relevant information from a data store based on using an embedding of the enriched query to perform a semantic search. Embodiments include providing the enriched query and the relevant information to a language processing machine learning model along with a prompt that instructs the language processing machine learning model to generate an answer to the enriched query based on the relevant information and to generate a disambiguation question if one or more conditions are met. Embodiments include receiving an output from the language processing machine learning model in response to the prompt. Embodiments include providing a response to the query via the user interface based on the output.

Classes IPC  ?

• G06F 16/3329 - Formulation de requêtes en langage naturel
• G06F 16/334 - Exécution de requêtes
• G06F 16/338 - Présentation des résultats des requêtes
• G06F 40/20 - Analyse du langage naturel
• G06F 40/30 - Analyse sémantique
• G06F 40/35 - Représentation du discours ou du dialogue
• G06F 40/40 - Traitement ou traduction du langage naturel
• G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance
• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06N 5/046 - Inférence en avantSystèmes de production
• G06N 20/00 - Apprentissage automatique

Abrégé

Certain aspects of the disclosure provide techniques for a language mode (LM) based service. An example method includes receiving, as input, a user query; identifying a set of first function schemas corresponding to a set of first functions, the set of first functions satisfying a similarity score threshold to the user query; determining whether the user query satisfies an ambiguity threshold with regard to selection of one or more functions from the set of first functions; (1) obtaining a user input associated with a clarification or completion of the user query, identifying a set of second functions based on the user input, and selecting the one or more functions from at least the set of second functions, or (2) selecting the one or more functions from the set of first functions; generating a function plan based on the one or more functions; and executing the function plan.

Classes IPC  ?

• G06F 16/2453 - Optimisation des requêtes

Abrégé

Certain aspects of the disclosure provide techniques for validating function plans by a device. An example method includes receiving, as input, a function plan comprising a function definition that comprises a set of features associated with a function, a user query, and a function schema that corresponds to the function included in the function plan; determining a hallucination in the function definition by comparing the set of features of the function definition with one or more corresponding features included in the user query or the function schema; determining that a correct feature corresponding to the hallucination is not included in either the user query or the function schema; performing function-specific disambiguation to obtain the correct feature; modifying the function definition by replacing the hallucination with the correct feature; and executing the function plan with the modified function definition.

Classes IPC  ?

• G06F 16/2452 - Traduction des requêtes
• G06F 16/21 - Conception, administration ou maintenance des bases de données
• G06F 16/2455 - Exécution des requêtes

Abrégé

Certain aspects of the disclosure provide techniques for selecting functions. An example method includes receiving, as input, a user query; obtaining a plurality of function schemas that include function descriptions and examples for a plurality of functions; generating, for the user query and based on the plurality of function schemas, a plurality of similarity scores, the plurality of similarity scores including a respective set of similarity scores for each function of the plurality of functions; selecting, based on the plurality of similarity scores and a plurality of function-specific thresholds corresponding to the plurality of functions, a subset of the functions as relevant functions for the user query; generating a function plan that comprises one or more function definitions for one or more functions of the subset of the functions; and executing the function plan.

Classes IPC  ?

• G06F 16/2452 - Traduction des requêtes
• G06F 16/21 - Conception, administration ou maintenance des bases de données

Abrégé

Certain aspects of the disclosure provide techniques for web page content extraction. A method generally includes: extracting markup language elements from a first web page; generating a first plurality of probabilities that the markup language elements represent a plurality of transactions based on, for each respective markup language element: determining markup language features associated with the respective markup language element; and generating a probability that the respective markup language element represents a transaction by processing, with a first machine learning (ML) model, the markup language features; generating a probability density distribution for the first web page based on the first plurality of probabilities; extracting distribution features associated with the probability density distribution; generating a transaction probability threshold associated with the first web page by processing, with a second ML model, the distribution features; and identifying a subset of the markup language elements having respective probabilities above the transaction probability threshold.

Classes IPC  ?

• G06F 40/117 - ÉtiquetageAnnotation Désignation de blocChoix des attributs
• G06F 40/177 - Édition, p. ex. insertion ou suppression de tableauxÉdition, p. ex. insertion ou suppression utilisant des lignes réglées

Abrégé

Aspects of the disclosure provide techniques for defining communication parameters. A method includes obtaining input information relating to a communication source and a set of communication targets; generating, in accordance with a target function that indicates a set of constraints to be satisfied by a set of communication parameters, the set of communication parameters for communications from the communication source to the set of communication targets, the generating including: performing a linear programming operation to generate one or more first communication parameters of the set of communication parameters based on the set of constraints, and performing a mixed-integer programming operation to generate one or more second communication parameters of the set of communication parameters based on the set of constraints, wherein the set of communication parameters is based on a predictive model configured to predict a behavior of the set of communication targets; and providing the set of communication parameters.

Classes IPC  ?

• H04L 43/02 - Capture des données de surveillance
• H04L 43/04 - Traitement des données de surveillance capturées, p. ex. pour la génération de fichiers journaux

Abrégé

A computer-implemented method involves receiving input with information about treatments for targets. A large language model (LLM) agent identifies tools for configuring treatments, selecting targets, and allocating treatments. The LLM agent generates and provides application programming interface (API) inputs to the tools. The LLM agent receives results from the tools, determines if the results satisfy a condition, and outputs an indication based on the results. The method includes generating computer code for treatments, applying treatments, and performing statistical analysis. The system iteratively adjusts treatments, targets, or allocations until conditions are met. The system identifies ambiguities and obtains clarifications, training the LLM agent accordingly. The processing system includes memory and processors to execute instructions, receive input, identify tools, generate API inputs, provide inputs to tools, receive results, determine conditions, and output indications.

Classes IPC  ?

• G06N 3/042 - Réseaux neuronaux fondés sur la connaissanceReprésentations logiques de réseaux neuronaux

Abrégé

A method including receiving a user-specific query. User data is extracted from a user-specific data source and converted into a graph data structure that defines relationships between data elements contained in the user data. The graph data structure is stored in a data schema. A prompt is constructed for a language model. Constructing includes adding, to the prompt, the graph data structure such that, when executed, the language model processes both the relationships and the data elements in the graph data structure. Constructing also includes adding, to the prompt, a first command to reference a context including context data stored in the data schema. Constructing also includes adding, to the prompt, a second command to generate an output from the context. The output is indirectly related to the user data. The language model is executed with the prompt to generate the output. The output is returned.

Classes IPC  ?

• G06F 16/335 - Filtrage basé sur des données supplémentaires, p. ex. sur des profils d’utilisateurs ou de groupes
• G06F 9/54 - Communication interprogramme
• H04L 51/04 - Messagerie en temps réel ou quasi en temps réel, p. ex. messagerie instantanée [IM]

Abrégé

A method of improving autoscaling for bursty traffic. A performance metric is received and used by an autoscaling controller to scale a number of deployed processes. The performance metric is compared to a pre-existing target. When the performance metric exceeds the pre-existing target, the number of deployed processes is determined to be increased based on a curved metric. The curved metric is generated by applying a curve function to the performance metric, which prescales the number of deployed processes. The autoscaling controller then increases the number of deployed processes based on the curved metric.

Classes IPC  ?

• G06F 11/34 - Enregistrement ou évaluation statistique de l'activité du calculateur, p. ex. des interruptions ou des opérations d'entrée–sortie
• G06F 9/50 - Allocation de ressources, p. ex. de l'unité centrale de traitement [UCT]

Abrégé

Aspects of the present disclosure relate to taxonomy guided retrieval augmented generation in machine learning models. Embodiments include generating a summary of each respective document in a plurality of documents and extracting attributes and relationships between the attributes from each respective summary. Embodiments include generating a hierarchy of taxonomies using a first graph and associating each document of the plurality of documents with a corresponding taxonomy of the taxonomies based on the hierarchy. Embodiments include creating an embedding associated with each document based on contents of each document and the associating and constructing a second graph containing the embedding associated with each document. Embodiments include retrieving one or more inputs to provide to a machine learning model in connection with a query based on comparing an embedding of the query to corresponding embeddings in the graph and generating a response to the query based on the one or more inputs.

Classes IPC  ?

• G06F 18/241 - Techniques de classification relatives au modèle de classification, p. ex. approches paramétriques ou non paramétriques
• G06F 16/334 - Exécution de requêtes
• G06F 40/166 - Édition, p. ex. insertion ou suppression
• G06F 40/205 - Analyse syntaxique

Abrégé

A system and method are provided for executing classification techniques using large language models (LLMs).

Classes IPC  ?

• G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
• G06F 16/353 - PartitionnementClassement dans des classes prédéfinies

Abrégé

Certain aspects of the disclosure provide a method for fraud detection. The method may include obtaining a plurality of fraud detection rule combinations, each fraud detection rule combination of the plurality of fraud detection rule combinations having an assigned risk level, wherein each fraud detection rule combination comprises a combination of two or more individual fraud detection rules; receiving transaction data associated with an account; identifying, from the plurality of fraud detection rule combinations, one or more fraud detection rule combinations triggered by the transaction data, and generating a consolidated risk score for the account by aggregating the assigned risk levels of each triggered fraud detection rule combination; and generating a fraud alert when the consolidated risk score exceeds a threshold, wherein the fraud alert includes an explanation identifying the one or more fraud detection rule combinations that contributed to the consolidated risk score.

Classes IPC  ?

• G06Q 30/018 - Certification d’entreprises ou de produits
• G06Q 20/40 - Autorisation, p. ex. identification du payeur ou du bénéficiaire, vérification des références du client ou du magasinExamen et approbation des payeurs, p. ex. contrôle des lignes de crédit ou des listes négatives

Abrégé

An artificial intelligence searching tool for enterprise specific code generation includes receiving a first version of a new functionality entry that includes multiple new pairs including a new prompt and a new response referencing a corresponding new code example and storing the new functionality entry in a clone of a code repository. The method further includes processing, by an LLM using information from the clone, a set of test prompts selected from the new pairs and the existing pairs. The method further includes identifying an accuracy level of the set of generated responses in selecting, from the clone, a corresponding code example for each of the set of test prompts, detecting, based on the accuracy level, a conflict between the first version and an existing functionality entry, and populating an owner interface with information regarding the conflict to obtain a second version of the new functionality entry.

Classes IPC  ?

• G06F 8/35 - Création ou génération de code source fondée sur un modèle

Abrégé

Certain aspects of the disclosure provide techniques for code generation and execution for data-driven computation. A method generally includes obtaining: structured data associated with a query; and a plan that defines an analysis sequence for generation of data-driven output that is responsive to the query, wherein the analysis sequence comprises a plurality of steps based on the structured data; generating, based on the plan, prompt(s), each respective prompt comprising at least: instructions for generating a set of executable code configured to perform computation(s) in accordance with one or more of the steps; and a data profile for the structured data; prompting a language model (LM), with each respective prompt, to generate each set of executable code based on at least the data profile; executing each set of executable code to produce computed result(s); and generating data-driven output based on at least one computed result.

Classes IPC  ?

• G06F 8/35 - Création ou génération de code source fondée sur un modèle

Abrégé

Systems and methods for identifying pivotal tokens are disclosed herein. An example method is performed by one or more processors of a computing system. The example method may include receiving, over a communications network from a computing device, a transmission including one or more input texts formed from a token sequence. The example method may include generating substitute token candidates for each input text based on its context, each substitute token candidate mapped to a resultant text in which the substitute token candidate replaces one or more tokens in the sequence. The example method may include determining a baseline perplexity score for each input text. The example method may include determining a candidate perplexity score for each resultant text associated with each input text. The example method may include identifying one or more pivotal tokens within each input text based on the baseline perplexity scores and the candidate perplexity scores.

Classes IPC  ?

• G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
• G06F 40/166 - Édition, p. ex. insertion ou suppression

Abrégé

Certain aspects of the disclosure provide a method for training a language model (LM) including: generating, using an LM, one or more outputs; computing a confidence score of an output of the one or more outputs based on a perplexity value of the output; determining, by a group relative policy optimization (GRPO)-based model, that the output is: associated with a correct status based on a reference policy; and associated with an uncertain status based on the confidence score and a threshold; determining, by the GRPO-based model, an increased reward value for the output that is associated with the correct status and the uncertain status based at least in part on a base reward value and the confidence score; causing, by the GRPO-based model, a reinforcement of the output using the increased reward value; and training the LM in accordance with the reinforcement of the output.

Classes IPC  ?

• G06N 3/0895 - Apprentissage faiblement supervisé, p. ex. apprentissage semi-supervisé ou auto-supervisé
• G06N 3/02 - Réseaux neuronaux
• G06N 3/08 - Méthodes d'apprentissage
• G06N 3/092 - Apprentissage par renforcement
• G06N 3/094 - Apprentissage antagoniste
• G06N 20/00 - Apprentissage automatique

Abrégé

A method for executing a large matching task by a language model, the large matching task including a request to the language model to match a first dataset to a second dataset in which the request exceeds a maximum token constraint of the language model. A matching model generates matching scores from the first and second datasets. The matching scores represent probability of match between a first entry in the first dataset and one of a number of second entries in the second dataset. Selected candidate matches include matches between the first entry and a subset of the second entries for which the matching scores exceed a threshold value. A prompt is generated for the language model to identify a matching dataset set from among the candidate matches. The language model is executed with the prompt to output the matching dataset. The matching dataset is returned.

Classes IPC  ?

• G06F 16/334 - Exécution de requêtes
• G06F 16/3329 - Formulation de requêtes en langage naturel

Abrégé

Systems and methods for repairing data based on parity between an append only source database and a materialized version of the data in a target database. A data quality management (DQM) system generates a target data change dataset for target data based on changes that occurred between the current time of data ingestion and a previous time. A source data change dataset is generated for the source data based on changes that between the current and previous times. The comparison target data change dataset and source data change dataset may be used to generate parity data for updated and inserted data. Parity data is generated for the deleted data by performing a join operation using the target database and the source data change dataset. Target data is selectively repaired based on the parity data.

Classes IPC  ?

• G06F 16/23 - Mise à jour
• G06F 16/21 - Conception, administration ou maintenance des bases de données

Abrégé

A GraphQL query generation system uses a tunable Retrieval-Augmented Generation (RAG) architecture that includes a top-K predictor that receives natural language queries and predicts a number of items to be retrieved by a retriever for each natural language query. A retriever receives the natural language queries and in response retrieves a set of top-K attributes associated with the natural language queries and the number of items to be retrieved as provided by the top-K predictor. The retriever may be a neural database retriever that is configured to perform a multiple class hash key prediction by encoding the natural language query with a hash key and retrieving attributes that are assigned a same hash key. The GraphQL query generating large language model (LLM) receives the natural language queries and the set of top-K attributes and in response generate the GraphQL queries. The top-K predictor and the LLM are co-trained together.

Classes IPC  ?

• G06F 16/2452 - Traduction des requêtes
• G06F 16/14 - Détails de la recherche de fichiers basée sur les métadonnées des fichiers

Abrégé

Certain aspects of the disclosure provide techniques for data handling. A method generally includes determining, using a classification element, a form type of a document; identifying a first language model (LM) and a schema associated with the form type; prompting the first LM to: extract, from the document, a plurality of values for a plurality of entities defined in the schema, and generate, based on the plurality of values, a structured output in compliance with the schema; receiving, from the first LM, the structured output; populating an electronic form based on the structured output; and outputting the electronic form.

Classes IPC  ?

• G06V 30/413 - Classification de contenu, p. ex. de textes, de photographies ou de tableaux
• G06F 16/34 - NavigationVisualisation à cet effet
• G06V 30/148 - Découpage de zones de caractères
• G06V 30/414 - Extraction de la structure géométrique, p. ex. arborescenceDécoupage en blocs, p. ex. boîtes englobantes pour les éléments graphiques ou textuels

Abrégé

Systems and methods are disclosed for detecting and remediating safety issues in electronic text received by an electronic platform. The electronic text is screened using an adaptive text window that splits the text into segments. Each segment is tested for safety issues, e.g., for content moderation or computer security. Any segment that is identified as containing a potential safety issue is iteratively split and tested using progressively smaller window sizes. The testing of the segments includes generating a safety score, e.g., using a content safety model, which is compared to an adaptive threshold. The threshold may be adjusted in each iteration based on the change in window size. The dynamic screening approach continues until all segments are determined to be safe or until a minimum window size is reached and the electronic text is accepted or rejected based on the safety scores for the segments of the electronic text.

Classes IPC  ?

• G06F 21/55 - Détection d’intrusion locale ou mise en œuvre de contre-mesures
• G06F 21/50 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation
• G06F 21/56 - Détection ou gestion de programmes malveillants, p. ex. dispositions anti-virus
• G06F 40/10 - Traitement de texte
• G06F 40/166 - Édition, p. ex. insertion ou suppression
• H04L 9/40 - Protocoles réseaux de sécurité
• G06F 21/57 - Certification ou préservation de plates-formes informatiques fiables, p. ex. démarrages ou arrêts sécurisés, suivis de version, contrôles de logiciel système, mises à jour sécurisées ou évaluation de vulnérabilité

Abrégé

Certain aspects of the disclosure provide a method for generating an evaluation dataset. The method may include accessing a plurality of vector embeddings associated with a plurality of documents, wherein each vector embedding corresponds to a document; clustering the plurality of vector embeddings into a plurality of clusters; selecting, from each cluster of the plurality of clusters, a subset of vector embeddings of the plurality of vector embeddings according to a sampling strategy; for each respective vector embedding of the subset of vector embeddings: generating a seed question based on content of the portion of the document associated with the respective vector embedding; transforming the seed question into a transformed question of a question type different from the seed question; and associating the transformed question with the respective vector embedding as a ground truth label; and forming an evaluation dataset comprising the transformed questions and their associated ground truth labels.

Classes IPC  ?

• G06N 3/0475 - Réseaux génératifs
• G06N 3/0455 - Réseaux auto-encodeursRéseaux encodeurs-décodeurs
• G06N 3/088 - Apprentissage non supervisé, p. ex. apprentissage compétitif

Abrégé

A method includes receiving, at a large language model, a prompt injection cyberattack. The method includes executing the large language model. The large language model takes the prompt injection cyberattack and generates a first output. The method includes receiving, by a guardian controller, the first output. The guardian controller includes a classification machine learning model and a security application. The method includes determining a probability that the first output is poisoned by the prompt injection cyberattack. Determining the probability includes providing the first output to the classification machine learning model and executing the classification machine learning model to generate the probability. The method includes determining whether the probability satisfies a threshold. The method includes enforcing, by the security application and responsive to the probability satisfying the threshold, a security scheme on use of the first output by a control application. Enforcing the security scheme mitigates the prompt injection cyberattack.

Classes IPC  ?

• G06F 21/56 - Détection ou gestion de programmes malveillants, p. ex. dispositions anti-virus
• G06F 21/54 - Contrôle des utilisateurs, des programmes ou des dispositifs de préservation de l’intégrité des plates-formes, p. ex. des processeurs, des micrologiciels ou des systèmes d’exploitation au stade de l’exécution du programme, p. ex. intégrité de la pile, débordement de tampon ou prévention d'effacement involontaire de données par ajout de routines ou d’objets de sécurité aux programmes
• G06F 21/55 - Détection d’intrusion locale ou mise en œuvre de contre-mesures

Abrégé

Aspects of the present disclosure relate to automated entity matching. Embodiments include creating an embedding representation of a target entity. Embodiments further include retrieving, based on a semantic similarity comparison involving the embedding representation of the target entity and embedding representations of a set of entities, a subset of entities. Embodiments further include providing an input based on the target entity and the subset of entities to a large language model (LLM) that is configured to generate an output indicating a particular entity that matches the target entity. Embodiments further include receiving, from the LLM based on the input, an output indicating a given entity that matches the target entity.

Classes IPC  ?

• G06F 16/903 - Requêtes

Abrégé

A method including advancing a computer-automated workflow a step. The method also includes retrieving an image template including a computer renderable data structure for rendering an image. The image template is specific to the step. The method also includes retrieving a prompt template including a prompt data structure for input to a language model. The prompt template is specific to the step. The method also includes combining the image template and the prompt template to generate a combined prompt. The method also includes executing a language model with the combined prompt to generate an output of the language model. The method also includes rendering the output to generate a rendered data structure.

Classes IPC  ?

• G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte
• G06F 40/186 - Gabarits

Abrégé

Systems and methods for determining attribute aggregations in a stream processing system uses a distributed ingestion service that ingests a data stream by deduplicating the data to extract only the most receipt domain events and selecting fields that are required for the attribute aggregation to reduce the amount of data that is written to a distributed database. Selected fields are written to multiple partitions in folders on a network storage device and uploaded in a bulk import to a distributed database that is partitioned based on primary keys. Read queries are executed by a distributed query service by reading data from the distributed database. The data is filtered based on primary keys. If multiple versions of data are present in the distributed database, the data is deduplicated and the attribute aggregations are determined before publishing the data in response to the queries.

Classes IPC  ?

• G06F 16/2455 - Exécution des requêtes
• G06F 16/215 - Amélioration de la qualité des donnéesNettoyage des données, p. ex. déduplication, suppression des entrées non valides ou correction des erreurs typographiques
• G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet

Abrégé

Aspects of the present disclosure relate to deploying changes to computing code. Embodiments include receiving, based on an input provided by a user: an input that specifies a first environment, a second environment, a given set of checks for the first environment, a first artifact for the first environment, and a second artifact for the second environment. Embodiments further include opening and merging a first pull request based on the first artifact. Embodiments further include opening a second pull request based on the second artifact. Embodiments further include merging the second pull request into the second environment based on the first environment passing the given set of checks.

Classes IPC  ?

• G06F 8/65 - Mises à jour

Abrégé

At least one processor may receive a string input through a user interface (UI) including a request to perform a computing function. The at least one processor may determine a query responsive to the request and query at least one database using the query, receiving a plurality of descriptions of a plurality of potentially matching applications and respective similarity scores for each respective one of the plurality of potentially matching applications in response. The at least one processor may prompt a generative artificial intelligence (GenAI) with a prompt including the plurality of descriptions and respective similarity scores and receive a response to the prompt from the GenAI indicating a most likely matching application from among the plurality of potentially matching applications. The at least one processor may launch the most likely matching application in the UI, including loading context data from the UI into the most likely matching application.

Classes IPC  ?

• G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
• G06F 16/2452 - Traduction des requêtes
• G06F 16/248 - Présentation des résultats de requêtes

Abrégé

Techniques described herein involve automated event detection using retrieval augmented generation and machine learning models. Embodiments include creating a directed graph for each of a plurality of interactive sessions based on attributes associated with the interactive sessions and generating an embedding of the directed graph for each of the plurality of interactive sessions. Embodiments include storing the embedding of the directed graph for each of the plurality of interactive sessions in a vector database and, in response to an input session, retrieving one or more embeddings related to the input session from the vector database. Embodiments include selecting a subset of the one or more embeddings based on a prompt provided to a language processing machine learning model. Embodiments include comparing features associated with the subset of the one or more embeddings to features associated with an embedding of the input session and performing an action based on the comparing.

Classes IPC  ?

• G06F 16/334 - Exécution de requêtes
• G06F 16/3329 - Formulation de requêtes en langage naturel
• G06F 16/901 - IndexationStructures de données à cet effetStructures de stockage

Abrégé

Autonomous generation includes generating, with a large language model (LLM), an action list for performing an extraction task from at least one website. Generating the action list may include for each action in the action list performing operations. The operations include capturing current webpage data including a screenshot of a current webpage and a set of interactable widgets, obtaining, using an LLM processing the current webpage data, a next action attribute set, adding the next action attribute set, and performing the next action. Autonomous generation also includes traversing the action list to filter out at least one superfluous action, generating, after filtering, a set of machine executable instructions from the action list, and storing the set of machine executable instructions associated with a task identifier. Autonomous generation also includes executing the set of machine executable instructions to extract a data element from the at least one website.

Classes IPC  ?

• G06F 16/958 - Organisation ou gestion de contenu de sites Web, p. ex. publication, conservation de pages ou liens automatiques
• G06F 9/451 - Dispositions d’exécution pour interfaces utilisateur
• G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
• G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus
• G06F 16/951 - IndexationTechniques d’exploration du Web
• G06F 16/9535 - Adaptation de la recherche basée sur les profils des utilisateurs et la personnalisation

Abrégé

A method including receiving a query to a reasoning language model (RLM). The method also includes executing the RLM on the query. During executing, the RLM generates a first intermediate output and a second intermediate output. The method also includes executing, prior to generating a next intermediate output, a classification model on the second intermediate output to generate a prediction that the second intermediate output is redundant to the first intermediate output. The method also includes commanding, responsive to the prediction, the RLM to cease generating intermediate outputs. The method also includes commanding RLM to transmit the first intermediate output as a final output.

Classes IPC  ?

• G06N 3/092 - Apprentissage par renforcement

Abrégé

Systems and methods for hardening system prompts are disclosed herein. An example method is performed by one or more processors of a hardening system. The example method may include receiving an initial prompt for a language model (LM), generating an initial accuracy score representative of an extent to which output generated by the LM matches a target output when the initial prompt is used as its system prompt, generating an initial robustness score representative of an extent to which the LM resists adversarial attacks when the initial prompt is used as its system prompt, and iteratively transforming, using an artificial intelligence (AI)-based hardening agent in conjunction with a set of machine learning (ML)-based optimization tools and a reinforcement learning (RL) technique, the initial prompt into a hardened prompt such that the hardened prompt maximizes an increase of the initial robustness score and minimizes a decrease of the initial accuracy score.

Classes IPC  ?

• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06N 20/00 - Apprentissage automatique

Abrégé

Security against identity theft in generative artificial intelligence applications includes receiving, from a user computing device, an online user prompt to a large language model (LLM), the online user prompt associated with a user identifier, tokenizing the online user prompt to generate a target set of tokens, and tagging each token in the target set based on parts of speech to obtain a tagged target set. Security further includes processing, by a vector embedding model, the tagged target set to generate multiple vector embeddings, processing, by a sequential model, the vector embeddings to generate a target vector, processing, by an anomaly detection model using or trained with a signature of the user identifier, the target vector to detect whether user impersonation exists. Security further includes blocking, in real time with receiving the online user prompt, access to the LLM based on detecting that user impersonation exists.

Classes IPC  ?

• G06F 40/279 - Reconnaissance d’entités textuelles
• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06N 20/00 - Apprentissage automatique

Abrégé

Aspects of the present disclosure relate to structuring prompt frameworks in machine learning models. Embodiments include instructing a machine learning model via a prompt to generate an output according to a series of steps that reference one or more sections of the prompt. Embodiments include providing the machine learning model, via the prompt, with the one or more sections delineated with corresponding tags, each section of the one or more sections being referenced in the prompt via a corresponding tag. Embodiments include providing the machine learning model, via the prompt, with an output template indicating a target structure for the output and instructing the machine learning model to score the generated output according to a set of scoring criteria. Embodiments include instructing the machine learning model via the prompt to provide the output only when a calculated score, based on the scoring of the generated output, exceeds a threshold value.

Classes IPC  ?

• G06F 40/40 - Traitement ou traduction du langage naturel
• G06N 5/04 - Modèles d’inférence ou de raisonnement
• G06N 20/00 - Apprentissage automatique

Abrégé

A method for mitigating catastrophic forgetting is provided. The method includes providing an input prompt to a classifier machine learning model configured to classify the input prompt as a general knowledge query for a base generative artificial intelligence model, a specific knowledge query for a customized generative artificial intelligence model, or a mixed knowledge query for a weighted fusion model. The method includes computing, based on an output of the classifier machine learning model, a weighted mean of weights of the base generative artificial intelligence model and corresponding weights of the customized generative artificial intelligence model. The method includes generating the weighted fusion model based on the weighted mean of the weights of base generative artificial intelligence model and the corresponding weights of the customized generative artificial intelligence model. The method includes generating, based on the output, a response to the input prompt using the weighted fusion model.

Classes IPC  ?

• G06N 3/091 - Apprentissage actif

Abrégé

Aspects of the present disclosure relate to automated feedback analysis. Embodiments include receiving a set of user feedback items. Embodiments further include extracting, using an extraction machine learning model, one or more topics from the set of feedback items. Embodiments further include generating, using a sentiment analysis model, a score for each respective feedback item of the set of feedback items indicating a level of user satisfaction for the respective feedback item. Embodiments further include generating an aggregate score for each topic of the one or more topics based on the scores for the feedback items and matching each feedback item of the set of feedback items to a respective topic of the one or more topics using a matching machine learning model.

Classes IPC  ?

• G06F 40/30 - Analyse sémantique
• G06F 40/279 - Reconnaissance d’entités textuelles
• G06F 40/40 - Traitement ou traduction du langage naturel

Abrégé

The present disclosure provides techniques for machine learning based progressive delivery. One example method includes receiving record data related to an application, wherein the record data indicates one or more records, wherein each record of the one or more records indicates one or more of a timestamp, a deployment identifier, or a set of metrics, generating a sliding window for a specific deployment identifier indicated in the one or more records, generating an anomaly score indicative of a status of the application using a machine learning model associated with the application based on the sliding window, updating the anomaly score using a static bound based on the set of metrics, determining that the updated anomaly score meets a threshold value, and reverting the application to a previous status based on the determining that the updated anomaly score meets the threshold value.

Classes IPC  ?

• G06F 8/65 - Mises à jour
• G06F 11/14 - Détection ou correction d'erreur dans les données par redondance dans les opérations, p. ex. en utilisant différentes séquences d'opérations aboutissant au même résultat