Patent · US Active

Systems and methods for using a large language model for large documents

US12417352B1 · kind B1 · utility

0Cited by
14References
16Claims
0Family size

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Key dates

Filing dateJun 1, 2023
Grant dateSep 16, 2025
Priority date
Expiry dateFeb 6, 2044

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F40/30
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Systems and methods for using a machine learning model for a set of one or more documents are disclosed. Exemplary implementations may: create a set of document segments from the set of one or more documents; create a set of semantic vectors; create a query vector that semantically represents a query from a user; determine a subset of the set of semantic vectors based on at least two different comparisons involving the query vector; create a combination of the individual document segments that are associated with the subset of the set of semantic vectors; provide a prompt to the machine learning model, using the created combination of the individual document segments as context; present replies from the machine learning model, and/or perform other steps.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.