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:
May. 12, 2026

Filed:

Mar. 05, 2024
Applicant:

Maplebear Inc., San Francisco, CA (US);

Inventors:

Li Tan, Fremont, CA (US);

Haixun Wang, Bellevue, WA (US);

Shishir Kumar Prasad, Fremont, CA (US);

Tejaswi Tenneti, San Carlos, CA (US);

Aomin Wu, Scarsdale, NY (US);

Jagannath Putrevu, Danville, CA (US);

Assignee:

Maplebear Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06Q 30/0201 (2023.01); G06Q 30/0282 (2023.01); G06Q 30/0601 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0627 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0282 (2013.01);
Abstract

A system, for example, an online system uses a machine learning based language model, for example, a large language model (LLM) to process crowd-sourced information provided by users. The crowd-sourced information may include comments from users represented as unstructured text. The system further receives queries from users and answers the queries based on the crowd-sourced information collected by the system. The system generates a prompt for input to a machine-learned language model based on the query. The system provides the prompt to the machine-learned language model for execution and receives a response from the machine-learned language model. The response comprises the insight on the topic and evidence for the insight. The evidence identifies one or more comments used to obtain the insight.


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