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:
Oct. 27, 2026

Filed:

Dec. 02, 2025
Applicant:

Bria Artificial Intelligence Ltd, Tel Aviv, IL;

Inventors:

Yair Adato, Tenafly, NJ (US);

Vered Horesh, Tel Aviv, IL;

Michael Feinstein, Tel Aviv, IL;

Ron Mokady, Ramat Hasharon, IL;

Ran Achituv, Kefar Saba, IL;

Nimrod Sarid, Tel Aviv, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 16/3329 (2025.01); G06F 16/335 (2019.01); G06F 16/432 (2019.01); G06F 18/214 (2023.01); G06F 21/10 (2013.01); G06F 21/16 (2013.01); G06F 40/166 (2020.01); G06F 40/253 (2020.01); G06F 40/279 (2020.01); G06N 3/0475 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 20/00 (2019.01); G10H 1/00 (2006.01); H04N 21/83 (2011.01); H04N 21/85 (2011.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 16/3329 (2019.01); G06F 16/335 (2019.01); G06F 16/432 (2019.01); G06F 18/214 (2023.01); G06F 21/106 (2023.08); G06F 21/16 (2013.01); G06F 40/166 (2020.01); G06F 40/253 (2020.01); G06F 40/279 (2020.01); G06N 3/0475 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G10H 1/0025 (2013.01); H04N 21/83 (2013.01); H04N 21/85 (2013.01); G10H 2210/036 (2013.01); G10H 2210/056 (2013.01); G10H 2210/071 (2013.01); G10H 2210/076 (2013.01); G10H 2210/081 (2013.01); G10H 2210/111 (2013.01); G10H 2210/576 (2013.01);
Abstract

Systems, methods and non-transitory computer readable media for attributing generated textual contents to training examples are provided. A first textual content generated using a generative model may be received. The generative model may be a result of training a machine learning model using a plurality of training examples. Each training example of the plurality of training examples may be associated with a respective textual content. Properties of the first textual content may be determined. For each training example of the plurality of training examples, properties of the respective textual content may be determined. The properties of the first textual content and the properties of the textual contents associated with the plurality of training examples may be used to attribute the first textual content to a first subgroup of at least one but not all of the plurality of training examples.


Find Patent Forward Citations

Adato, Yair. (2026). Attributing generated textual contents to training examples (U.S. Patent No. 12777235). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12777235

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

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