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:
Mar. 24, 2026

Filed:

Jul. 21, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Andy Wagner, Cupertino, CA (US);

Tiyasa Mitra, San Jose, CA (US);

Marc Tremblay, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 16/242 (2019.01); G06F 18/214 (2023.01); G06F 40/284 (2020.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 16/243 (2019.01); G06F 18/214 (2023.01); G06F 40/284 (2020.01);
Abstract

Embodiments of the present disclosure include systems and methods for compressing tokens based on positions for training data that is used to train transformer models. In some embodiments, a set of input data for training a transformer model is received. The set of input data comprises a set of tokens and a set of position values. A first token in the set of tokens that is the same as a second token in the set of tokens is identified. The position value representing the first token with the position value representing the second token are combined. The set of tokens is modified by removing the first token from the set of tokens. A set of training data is generated to comprise the modified set of tokens and the set of position values. The transformer model is trained using the set of training data.


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