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.

大型语言模型 (Large Language Models, LLMs)，如 GPT-4 的进步为生成设计提供了新的机会，本文调查了该工具在整个设计和制造流程中的应用。通过一系列示例，我们突出了当前 LLMs 的优点和局限性，旨在推动这些模型的持续改进和进步。