CONVERSATIONAL ARTIFICIAL INTELLIGENCE AGENT LEARNING METHOD AND DEVICE BASED ON GENERATIVE LANGUAGE MODEL USING CONVERSATIONAL LOG DATA

Abstract

A conversational artificial intelligence (AI) agent learning method based on a generative language model includes a step of clustering learning conversation data with respect to a conversation context to generate k number of learning conversation data clusters, a step of learning each of the k learning conversation data clusters to generate k number of generative language models, a step of inputting each learning conversation data cluster to the k generative language models to generate k number of first responses for each learning conversation data cluster, and a step of classifying response preference between the k first responses generated for each learning conversation data cluster to generate (k-1) number of response preference data and automatically generating k×(k-1) number of response preference data corresponding to all of the k learning conversation data clusters without a separate labeling operation.

CPC Classifications