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. 15, 2026

Filed:

Dec. 15, 2023
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Hadrien Glaude, Boston, MA (US);

Sayan Chowdhury, Waltham, MA (US);

Pavel Aleksandrovich Rusin, Redmond, WA (US);

Anushree Venkatesh, San Mateo, CA (US);

Imre Attila Kiss, Arlington, MA (US);

James J Logan, Cambridge, MA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/22 (2006.01); G10L 15/28 (2013.01);
U.S. Cl.
CPC ...
G10L 15/285 (2013.01); G10L 15/22 (2013.01); G10L 2015/223 (2013.01);
Abstract

Devices and techniques are generally described for entity management. In various examples, a natural language request comprising a reference to an entity may be received. Resolved entity data associated with the entity may be determined. Identifier data associated with the resolved entity data may be generated and the resolved entity data may be stored in association with the identifier data in a session cache. A first prompt that comprises the identifier data may be generated. A language model (LM) may generate a data request that includes the identifier data as an input parameter. At least a portion of the resolved entity data may be received from the session cache using the data request. A second prompt that comprises at least the portion of the resolved entity data may be generated and used to perform an action with respect to the entity in response to the natural language request.


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