How Can Large Language Models Help Humans in Design and Manufacturing?
Abstract
The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we scrutinize the utility of LLMs in tasks such as: converting a text-based prompt into a design specification, transforming a design into manufacturing instructions, producing a design space and design variations, computing the performance of a design, and searching for designs predicated on performance. Through a series of examples, we highlight both the benefits and the limitations of the current LLMs. By exposing these limitations, we aspire to catalyze the continued improvement and progression of these models.
Cite
@article{arxiv.2307.14377,
title = {How Can Large Language Models Help Humans in Design and Manufacturing?},
author = {Liane Makatura and Michael Foshey and Bohan Wang and Felix HähnLein and Pingchuan Ma and Bolei Deng and Megan Tjandrasuwita and Andrew Spielberg and Crystal Elaine Owens and Peter Yichen Chen and Allan Zhao and Amy Zhu and Wil J Norton and Edward Gu and Joshua Jacob and Yifei Li and Adriana Schulz and Wojciech Matusik},
journal= {arXiv preprint arXiv:2307.14377},
year = {2023}
}