This video introduces how Generative AI, especially Large Language Models, is accelerating the field of Process Systems Engineering (PSE). Traditionally centered on mathematical modeling, optimization, and simulation, PSE now benefits from AI tools that improve productivity, design conceptual control systems, and support time-series modeling with Transformers. Case studies illustrate workforce efficiency gains of 25% and quality improvements of 40% when AI is used to augment engineering tasks. The talk also addresses limitations such as hallucinations, explainability, and over-reliance, while emphasizing the promise of transfer learning and domain-specific adaptation. The video provides both an overview of emerging methods and a practical discussion of opportunities and challenges in applying AI to process systems engineering.
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