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. 13, 2026

Filed:

Dec. 16, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Zirui Wang, San Francisco, CA (US);

Wei Yu, Palo Alto, CA (US);

Orhan Firat, Mountain View, CA (US);

Yuan Cao, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/044 (2023.01); G06N 3/0455 (2023.01); G06N 3/088 (2023.01); G06N 3/09 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating labeled training data using a pre-trained language model neural network. In particular, the language model neural network can generate the text input in a new labeled training example from an input sequence that includes (i) one or more context inputs and (ii) a text label that identifies the ground truth category for the new labeled training example.


Find Patent Forward Citations

Wang, Zirui. (2026). Generating labeled training data using a pre-trained language model neural network (U.S. Patent No. 12762399). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12762399

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

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