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.
Patent No.:
Date of Patent:
Feb. 17, 2026
Filed:
Jun. 21, 2024
Google Llc, Mountain View, CA (US);
Paul Kishan Rubenstein, Zurich, CH;
Matthew Sharifi, Kilchberg, CH;
Alexandru Tudor, Uitikon, CH;
Chulayuth Asawaroengchai, Zurich, CH;
Duc Dung Nguyen, Zurich, CH;
Marco Tagliasacchi, Ruvigliana, CH;
Neil Zeghidour, Paris, FR;
Zalán Borsos, Zurich, CH;
Christian Frank, Zurich, CH;
Dalia Salem Hassan Fahmy Elbadawy, Zurich, CH;
Hannah Raphaelle Muckenhirn, Zurich, CH;
Dirk Ryan Padfield, Seattle, WA (US);
Damien Vincent, Zurich, CH;
Evgeny Kharitonov, Paris, FR;
Michelle Dana Tadmor, Tel Aviv, IL;
Mihajlo Velimirovic, Zurich, CH;
Feifan Chen, Seattle, WA (US);
Victoria Zayats, Seattle, WA (US);
Google LLC, Mountain View, CA (US);
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing tasks. One of the methods includes obtaining a sequence of input tokens, where each token is selected from a vocabulary of tokens that includes text tokens and audio tokens, and wherein the sequence of input tokens includes tokens that describe a task to be performed and data for performing the task; generating a sequence of embeddings by embedding each token in the sequence of input tokens in an embedding space; and processing the sequence of embeddings using a language model neural network to generate a sequence of output tokens for the task, where each token is selected from the vocabulary.