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:
Apr. 21, 2025

Filed:

Jan. 05, 2022
Applicant:

Gicrm Ai Llc, Palo Alto, CA (US);

Inventors:

Amol Kelkar, Redmond, CA (US);

Nikhil Varghese, San Francisco, CA (US);

Chandra Khatri, San Francisco, CA (US);

Utkarsh Mittal, Foster City, CA (US);

Nachiketa Rajpurohit, San Mateo, CA (US);

Peter Relan, Atherton, CA (US);

Hung Tran, Foster City, CA (US);

Assignee:

GICRM AI LLC, Palo Alto, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2018.12); G06F 40/247 (2019.12); G06F 40/289 (2019.12); G06F 40/49 (2019.12); H04M 3/527 (2005.12);
U.S. Cl.
CPC ...
G06F 40/49 (2019.12); G06F 40/247 (2019.12); G06F 40/289 (2019.12); H04M 3/527 (2012.12);
Abstract

Described herein is an Autonomous Conversational AI system, which does not require any human configuration or annotation, and is used to have multi-turn dialogs with a user. A typical Conversational AI system consists of three main models: Natural Language Understanding (NLU), Dialog Manager (DM) and Natural Language Generation (NLG), which requires human provided data and configuration. The system proposed herein leverages novel Conversational AI methods which automatically generates conversational AI configuration from any historical conversation logs. The automatically generated configuration contains Auto-Topics, Auto-Subtopics, Auto-Intents, Auto-Responses and Auto-Flows which are used to automatically train NLU, DM and NLG models. Once these models are trained for given conversation logs, the system can be used to have dialog with any user.


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