Method and system for customizing community user robot, and non-transitory computer-readable medium

Abstract

A method and a system for customizing a community user robot, and a non-transitory computer-readable medium. The system provides a cloud server. A community user uploads data via a user interface provided by the cloud server and sets attributes of the community user robot. Prompts for each of the attributes are included. Then, a language model processes the data for formation of a training dataset, so that a machine learning method in operation learns attributes of the community user from the training dataset. The community user robot that is exclusive to the community user is further trained according to the prompts, and is deployed in a community, so that the community user robot operates under a personal account of the community user in the community.

Dependencies are inferred from the claim text.