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COMMON CONFIGURATION VALIDATION IN INDUSTRIAL DESIGN APPLICATIONS USING GENERATIVE ARTIFICIAL INTELLIGENCE

发明专利审中
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20权利要求 · 3 独立
§ Ⅰ

卷宗概要

发明人

Brian C. Frank; Gerald W. Renderman; John P. Mason; Matthew S. Hill; Chao G. Moua

IPC 分类

G5B 13/2G5B 19/4097

CPC 分类

G5B13/265G5B19/4097G5B2219/35066

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.

原文(中文)

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.