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:
Sep. 10, 2024

Filed:

Jul. 28, 2022
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Daniel De Freitas Adiwardana, Mountain View, CA (US);

Noam M. Shazeer, Palo Alto, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/2113 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/2113 (2023.01); G06N 20/00 (2019.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for evaluating candidate output sequences using language model neural networks. In particular, an auto-regressive language model neural network is used to generate a candidate output sequence. The same auto-regressive language model neural network is used to evaluate the candidate output sequence to determine rating scores for each of one or more criteria. The rating score(s) are then used to determine whether to provide the candidate output sequence.


Find Patent Forward Citations

De Freitas Adiwardana, Daniel. (2024). Evaluating output sequences using an auto-regressive language model neural network (U.S. Patent No. 12086713). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12086713

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

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