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. 31, 2026

Filed:

Dec. 17, 2024
Applicant:

Intuit Inc., Mountain View, CA (US);

Inventors:

Rachit Sengupta, San Diego, CA (US);

John Patrick Symborski, Alberta, CA;

Jianzhao Huang, Ontario, CA;

Assignee:

INTUIT INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/00 (2019.01); G06F 16/3329 (2025.01); G06F 16/334 (2025.01); G06F 16/338 (2019.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/40 (2020.01); G06N 5/00 (2023.01); G06N 5/022 (2023.01); G06N 5/04 (2023.01); G06N 5/046 (2023.01);
U.S. Cl.
CPC ...
G06F 16/33295 (2025.01); G06F 16/3329 (2019.01); G06F 16/3344 (2019.01); G06F 16/338 (2019.01); G06F 40/20 (2020.01); G06F 40/30 (2020.01); G06F 40/35 (2020.01); G06F 40/40 (2020.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01);
Abstract

Aspects of the present disclosure provide techniques for machine learning based disambiguation. Embodiments include receiving a query via a user interface; generating an enriched query by rewording the query based on conversation history data associated with the query. Embodiments include retrieving relevant information from a data store based on using an embedding of the enriched query to perform a semantic search. Embodiments include providing the enriched query and the relevant information to a language processing machine learning model along with a prompt that instructs the language processing machine learning model to generate an answer to the enriched query based on the relevant information and to generate a disambiguation question if one or more conditions are met. Embodiments include receiving an output from the language processing machine learning model in response to the prompt. Embodiments include providing a response to the query via the user interface based on the output.


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