COMMON CONFIGURATION VALIDATION IN INDUSTRIAL DESIGN APPLICATIONS USING GENERATIVE ARTIFICIAL INTELLIGENCE
개요
출원인
Rockwell Automation Technologies, Inc.
발명자
Brian C. Frank; Gerald W. Renderman; John P. Mason; Matthew S. Hill; Chao G. Moua
IPC 분류
CPC 분류
The present disclosure describes systems and methods for reviewing user selections in an industrial design application. Embodiments include leveraging a Generative Artificial Intelligence (GAI) model to review the selections. The GAI model is trained to recognize common selections of configuration options among users of the industrial design application. The disclosure describes generating prompts requesting GAI model validation of industrial design selections, including requesting alternate selection suggestions for irregular selections. The GAI model may respond with one or more alternate selection suggestions, which may be included in a notification displayed to the user.
원문 (중국어)
The present disclosure describes systems and methods for reviewing user selections in an industrial design application. Embodiments include leveraging a Generative Artificial Intelligence (GAI) model to review the selections. The GAI model is trained to recognize common selections of configuration options among users of the industrial design application. The disclosure describes generating prompts requesting GAI model validation of industrial design selections, including requesting alternate selection suggestions for irregular selections. The GAI model may respond with one or more alternate selection suggestions, which may be included in a notification displayed to the user.