US 12,136,043 B1
Transforming conversational training data for different machine learning models
Milo Davis, Las Cruces, NM (US); and Mark William Davis, Las Cruces, NM (US)
Assigned to LikeHuman LLC, Las Cruces, NM (US)
Filed by LikeHuman LLC, Las Cruces, NM (US)
Filed on Apr. 1, 2022, as Appl. No. 17/711,804.
Claims priority of provisional application 63/170,061, filed on Apr. 2, 2021.
Int. Cl. G06N 5/022 (2023.01); G06F 40/169 (2020.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06F 40/253 (2020.01)
CPC G06N 5/022 (2013.01) [G06F 40/169 (2020.01); G06F 40/284 (2020.01); G06F 40/35 (2020.01); G06F 40/253 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method of transforming conversational training data, the method comprising, by a computer system:
receiving a command to transform a first statement in a first conversational training set into training data for a second conversational training set, wherein the first conversational training set trains a first machine learning model in a first knowledge area, and wherein the second conversational training set trains a second machine learning model in a second knowledge area;
analyzing language of the first statement using a third machine learning model, wherein the third machine learning model is trained to recognize patterns of language variation between the first and second knowledge areas;
responsive to the analyzing, selecting an original segment of the first statement as a candidate for substitution; and
responsive to the selecting, transforming the first statement into a second statement for the second conversational training set, the second statement comprising a substitute segment that at least partially replaces the original segment.