The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 02, 2025

Filed:

Nov. 12, 2024
Applicant:

Openai Opco, Llc, San Francisco, CA (US);

Inventors:

Nicholas Turley, San Francisco, CA (US);

Thomas Dimson, San Francisco, CA (US);

Olivier Godement, San Francisco, CA (US);

Michal Pokrass, San Francisco, CA (US);

Assignee:

OpenAI OpCo, LLC, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/334 (2025.01); G06N 5/02 (2023.01); G06N 5/022 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/3344 (2019.01); G06N 5/02 (2013.01); G06N 5/022 (2013.01);
Abstract

While AI models, like large language models, are powerful tools with multiple applications, they can be complex to use and can require a lot of resources to operate. The disclosed systems and methods provide tools to generate customized models (or AI agents) that are configured with features like tailored knowledge, capabilities, and instructions that make them faster, more efficient, and use less computational resources. AI agents may offer several technical advantages of improved efficiency, resource use, and connectivity. This disclosure describes systems and methods to configure, evaluate, generate, and deploy the custom models that can more efficiently run specific tasks. Disclosed systems and methods are configured to, for example, receive a query to generate a custom model, generate the AI agent custom model with the information in the query, and then resolve user queries more efficiently using the custom model.


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