Patent · US Active

Systems and methods for generating code using language models trained on computer code

US12061880B2 · kind B2 · utility

0Cited by
1References
18Claims
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Key dates

Filing dateMay 23, 2023
Grant dateAug 13, 2024
Priority date
Expiry dateMay 23, 2043

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06F40/186
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Disclosed herein are methods, systems, and computer-readable media for generating computer code based on natural language input. In an embodiment, a method may comprise one or more of: receiving a docstring representing natural language text specifying a digital programming result; generating, using a trained machine learning model, and based on the docstring, a computer code sample configured to produce respective candidate results; causing the computer code sample to be executed; identifying, based on the executing, a computer code sample configured to produce a particular candidate result associated with the digital programming result; performing at least one of outputting, via a user interface, the identified computer code sample, compiling the identified computer code sample, transmitting the identified computer code sample to a recipient device, storing the identified computer code sample, and/or re-executing the identified computer code sample.

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