Abstract: There is disclosed, in an example, a computer-implemented system and method, which includes providing a large set of validation prompts; testing a first ML intent model with the large set of validation prompts, wherein the first ML intent model is to select for respective validation prompts a first intent from an intent set; testing a second ML intent model with the large set of validation prompts, wherein the second ML intent model is to select for the same validation prompts a second intent from the intent set; selecting a reduced set of validation prompts, comprising validation prompts for which the first intent and second intent do not match; receiving an analysis of the reduced set of validation prompts, including indicia of hits, wherein one of the ML intent models inferred a correct intent; and selecting as a preferred model an ML model of the first ML intent model or second ML model that provided more hits.
Type:
Grant
Filed:
December 29, 2023
Date of Patent:
May 19, 2026
Assignee:
CX360, Inc.
Inventors:
Schuyler K. Rank, Laura J. Kleiman, Patrick M. Peterson