Special Issue
Large Language Models in Design and Manufacturing
Yaoyao Fiona Zhao (McGill University)
E. Niforatos (TU Delft - Internet of Things)
Tonya Custis (Autodesk Research)
Yan Lu (National Institute of Standards and Technology)
Jianxi Luo (City University of Hong Kong)
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Abstract
The fast evolving large language models (LLMs), powered by generative pre-trained transformers (GPTs), have shown revolutionary potential to transform many fields beyond natural language processing. They generate new opportunities for innovation in engineering design and manufacturing. Design and manufacturing represent critical research domains where knowledge has always been deeply embedded in engineering designers, manufacturing engineers, and technicians. LLMs can analyze, retrieve, and generate vast amount of knowledge and concepts, presenting exciting possibilities for automating tasks such as design ideation, knowledge extraction, and specification generation in design and manufacturing. [...]