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:
Apr. 21, 2026

Filed:

Jan. 06, 2025
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

John Samuel, Banglore, IN;

Gokul Elumalai, Bangalore, IN;

Sanjay Kumar, Bengaluru, IN;

Snehal Shaevya, Bengaluru, IN;

Baljinder Singh, Bengaluru, IN;

Karthik Nayak, Bengaluru, IN;

Srivathsal Venkataramu, Bengaluru, IN;

Sandeep Mewara, Bengaluru, IN;

Assignee:

Intuit Inc., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/93 (2019.01); G06F 16/22 (2019.01); G06F 16/9038 (2019.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 16/93 (2019.01); G06F 16/2237 (2019.01); G06F 16/9038 (2019.01); G06F 40/40 (2020.01);
Abstract

A method for automatically generating a response to a current request for information about an electronic document associated with a particular domain of knowledge includes interpreting, using a first language processing machine learning model, the electronic document to obtain interpreted data. The method includes selecting, based on the current request, a subset of feedback data included in a first knowledge store and selecting, based on the current request, a subset of domain data stored in a second knowledge store. The method includes injecting a prompt into the first language processing machine learning model or a second language processing machine learning model based on the current request, the subset of feedback data, the subset of domain data, and the interpreted data. The method includes generating, by the first language processing machine learning model or the second language processing machine learning model, the response to the request based on the injecting.


Find Patent Forward Citations

Samuel, John. (2026). Generative artificial intelligence based approach for processing requests for information about electronic documents (U.S. Patent No. 12608428). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12608428

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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