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:
Oct. 10, 2023

Filed:

Jul. 08, 2022
Applicant:

Cerebri Ai Inc., Austin, TX (US);

Inventors:

Alain Charles Briancon, Austin, TX (US);

Jean Joseph Belanger, Austin, TX (US);

James Cvetan Stojanov, Austin, TX (US);

Christopher Michael Coovrey, Austin, TX (US);

Pranav Mahesh Makhijani, Austin, TX (US);

Gregory Klose, Austin, TX (US);

Max Changchun Huang, Austin, TX (US);

Mounib Mohamad Ismail, Austin, TX (US);

Michael Henry Engeling, Austin, TX (US);

Hongshi Li, Austin, TX (US);

Assignee:

Cerebri AI Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06F 17/00 (2019.01); G06N 20/00 (2019.01); G06Q 30/0251 (2023.01); G06N 20/20 (2019.01); G06N 3/088 (2023.01); G06F 18/24 (2023.01); G06F 18/20 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0269 (2013.01); G06F 18/24 (2023.01); G06F 18/295 (2023.01); G06N 3/088 (2013.01); G06N 20/20 (2019.01);
Abstract

Provided is a process, including: obtaining a first training dataset, training a first machine-learning model on the first training dataset, obtaining a set of candidate question sequences, forming virtual subject-entity records, forming a second training dataset, training a second machine-learning model, and storing the adjusted parameters of the second machine-learning model in memory.


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