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.

翻译：大型语言模型（LLMs）的进步（包括GPT-4）为生成式设计带来了令人振奋的新机遇。我们研究了该工具在整个设计与制造流程中的应用，具体分析了LLMs在以下任务中的效用：将文本提示转化为设计规范、将设计转化为制造指令、生成设计空间与设计变体、评估设计性能，以及基于性能进行设计搜索。通过一系列示例，我们揭示了当前LLMs的优势与局限性。通过展现这些局限，我们期望能推动这些模型的持续改进与发展。