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:
Aug. 04, 2026

Filed:

Sep. 17, 2024
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventors:

Aman Kumar, Santa Clara, CA (US);

Lasitha Vidyaratne, Santa Clara, CA (US);

Xian Yeow Lee, Santa Clara, CA (US);

Shunichi Akatsuka, Santa Clara, CA (US);

Dipanjan Ghosh, Santa Clara, CA (US);

Ahmed Farahat, Santa Clara, CA (US);

Chetan Gupta, Santa Clara, CA (US);

Assignee:

HITACHI, LTD., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/215 (2019.01); G06F 16/22 (2019.01);
U.S. Cl.
CPC ...
G06F 16/215 (2019.01); G06F 16/2237 (2019.01);
Abstract

Systems and methods for producing domain-specific data for training generative AI models as described herein systematically acquire, validate, and fine-tune AI models using domain-specific data. In embodiments, this comprises identifying seed documents, extracting keywords, performing refined searches, and scraping relevant content. The data is then pre-processed, chunked, and indexed. Using a retrieval-augmented generation approach, the system evaluates the quality and relevance of the data, ensuring efficient computational resource use and improved model training outcomes. By leveraging expert knowledge and systematic data validation, the accuracy and reliability of domain-specific AI models is enhanced.


Find Patent Forward Citations

Loading…