Methods and mechanisms for using machine learning to generate production control scenarios

Abstract

A system configured to receive, by a processing device, a query related to a desired production scenario of a substrate fabrication facility and generate a prompt based on the query. The prompt comprises data related to the query and data related to one or more data structures used by a production model to generate production scenario options. The prompt is provided as input to a trained machine learning model and an output of the trained machine learning model is obtained. The output comprises modification data associated with the one or more data structures to be used by the production model to generate the desired production scenario.

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