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:
Aug. 11, 2026

Filed:

Jun. 28, 2023
Applicant:

Yext, Inc., New York, NY (US);

Inventors:

Maxwell Davish, Brooklyn, NY (US);

Yen Thai Truong, Aldie, VA (US);

Nikolas Bramblett, Arlington, VA (US);

Maxwell Shaw, Arlington, VA (US);

Assignee:

Yext, Inc., New York, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 16/2457 (2019.01); G06F 16/3329 (2025.01); G06F 40/35 (2020.01); G06N 20/00 (2019.01); G10L 15/22 (2006.01); H04L 51/02 (2022.01);
U.S. Cl.
CPC ...
G06F 40/40 (2020.01); G06F 16/2457 (2019.01); G06F 16/3329 (2019.01); G06F 40/35 (2020.01); H04L 51/02 (2013.01); G06N 20/00 (2019.01); G10L 15/22 (2013.01);
Abstract

A method for a chat bot includes receiving multiple instruction sets corresponding to multiple goals, each instruction set defining a prompt to a large language model (LLM) to achieve a corresponding goal. The method further includes receiving a chat history from a user, comprising multiple messages, each message being one of a user-authored message or a chat bot-authored message, and further comprising metadata associated with said chat history. The method further includes identifying a particular goal of said user from the multiple goals, selecting a particular instruction set corresponding to said particular goal, and defining a particular prompt to the LLM. The method further includes executing said particular instruction set by providing said particular prompt to said LLM and providing a reply to said user with a result of executing said particular instruction set.


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