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:
Jul. 29, 2025

Filed:

Jun. 08, 2021
Applicant:

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

Inventors:

Abedelkader Asi, Kfar Bara, IL;

Yarin Kuper, Tel-Aviv, IL;

Royi Ronen, Tel Aviv, IL;

Song Wang, Bellevue, WA (US);

Olga Goldenberg, Tel Aviv, IL;

Shimrit Rada Bemis, Tel Aviv, IL;

Erez Altus, Tel-Aviv, IL;

Yi Mao, Redmond, WA (US);

Weizhu Chen, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/06 (2013.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G10L 15/063 (2013.01); G06N 20/00 (2019.01);
Abstract

The disclosure herein describes reducing training bias in outputs generated by a generative language model. A communication segment associated with a communication is obtained by at least one processor of a generative language model. An output value associated with the communication segment is generated by the generative language model. The output value is mapped to a set of training bias values associated with the generative language model and based on the mapping of the output value to a training bias value of the set of training bias values, an alternative output value is generated. The alternative output value is used in a generated segment output for the communication segment. The accuracy of segment outputs generated by the generative language model is improved through reducing or eliminating its training biases.


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