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.
Patent No.:
Date of Patent:
Jan. 13, 2026
Filed:
Nov. 27, 2023
Amazon Technologies, Inc., Seattle, WA (US);
Balasubramaniam Srinivasan, Santa Clara, CA (US);
Zhengyuan Shen, Lynwood, WA (US);
Jiani Zhang, San Jose, CA (US);
Chuan Lei, Los Altos, CA (US);
Xiao Qin, San Jose, CA (US);
Xiaotong Li, Long Island City, NY (US);
Dillon Ponzo, Little Silver, NJ (US);
Eun Kyung Kwon, New York, NY (US);
Phaneendra Maryala, Irvine, CA (US);
Aleatha Parker-Wood, Palo Alto, CA (US);
Huzefa Rangwala, District of Columbia, MD (US);
Florian Tobias D. Saupe, Stuttgart, DE;
Mark Horta, Nutley, NJ (US);
George Steven Mcpherson, Seattle, WA (US);
Amazon Technologies, Inc., Seattle, WA (US);
Abstract
Systems and methods for automated analysis of one or more tables are provided. Particularly, a large language model is provided that analyzes a table (or multiple tables) and produces output information about the table without requiring the contents of the table to be provided as an input. For example, the large language model can output a natural language description of the table, description of the table contents, applications of the data in the table, privacy and security concerns, and/or any other types of relevant information. Additionally, a mechanism is provided that evaluates the outputs of the large language model for inaccurate or nonsensical natural language and provides an indication of the quality of the output to a user. The mechanism, for example, may include a combination of a hallucination filter and one or more metrics. The mechanism may also be used to filter the outputs of the large language model.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile