How Can Large Language Models Help Humans in Design and Manufacturing?

Makatura, Liane, Foshey, Michael, Wang, Bohan, HähnLein, Felix, Ma, Pingchuan, Deng, Bolei, Tjandrasuwita, Megan, Spielberg, Andrew, Owens, Crystal Elaine, Chen, Peter Yichen, Zhao, Allan, Zhu, Amy, Norton, Wil J, Gu, Edward, Jacob, Joshua, Li, Yifei, Schulz, Adriana, Matusik, Wojciech

arXiv.org Artificial Intelligence 

Advances in computational design and manufacturing (CDaM) have already permeated and transformed numerous industries, including aerospace, architecture, electronics, dental, and digital media, among others. Nevertheless, the full potential of the CDaM workflow is still limited by a number of barriers, such as the extensive domainspecific knowledge that is often required to use CDaM software packages or integrate CDaM solutions into existing workflows. Generative AI tools such as Large Language Models (LLMs) have the potential to remove these barriers, by expediting the CDaM process and providing an intuitive, unified, and user-friendly interface that connects each stage of the pipeline. However, to date, generative AI and LLMs have predominantly been applied to non-engineering domains. In this study, we show how these tools can also be used to develop new design and manufacturing workflows.

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