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:
Dec. 02, 2025

Filed:

Nov. 07, 2023
Applicant:

Bria Artificial Intelligence Ltd., Tel Aviv, IL;

Inventors:

Yair Adato, Kfar Ben Nun, IL;

Michael Feinstein, Tel Aviv, IL;

Efrat Taig, Beer Sheva, IL;

Dvir Yerushalmi, Kfar Saba, IL;

Ori Liberman, Netanya, IL;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06F 40/40 (2020.01); G06T 7/194 (2017.01); G06T 7/70 (2017.01); G06T 11/00 (2006.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G10L 15/06 (2013.01); G10L 15/18 (2013.01); H04N 5/272 (2006.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/279 (2020.01); G06F 40/40 (2020.01); G06T 7/194 (2017.01); G06T 7/70 (2017.01); G06T 11/001 (2013.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G10L 15/063 (2013.01); G10L 15/18 (2013.01); H04N 5/272 (2013.01); G06T 2207/30196 (2013.01); G10L 2015/0631 (2013.01);
Abstract

Systems, methods and non-transitory computer readable media for inference based on different portions of a training set using a single inference model are provided. Textual inputs may be received, each of which may include a source-identifying-keyword. An inference model may be a result of training a machine learning model using a plurality of training examples. Each training example may include a respective textual content and a respective media content. The training examples may be grouped based on source-identifying-keywords included in the textual contents. Different parameters of the inference model may be based on different groups, and thereby be associated with different source-identifying-keywords. When generating new media content using the inference model and a textual input, parameters associated with the source-identifying-keyword included in the textual input may be used.


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