This paper presents an LLM-based learning platform for chip design education, aiming to make chip design accessible to beginners without overwhelming them with technical complexity. It represents the first educational platform that assists learners holistically across both frontend and backend design. The proposed approach integrates an LLM-based chat agent into a browser-based workflow built upon the Tiny Tapeout ecosystem. The workflow guides users from an initial design idea through RTL code generation to a tapeout-ready chip. To evaluate the concept, a case study was conducted with 18 high-school students. Within a 90-minute session they developed eight functional VGA chip designs in a 130 nm technology. Despite having no prior experience in chip design, all groups successfully implemented tapeout-ready projects. The results demonstrate the feasibility and educational impact of LLM-assisted chip design, highlighting its potential to attract and inspire early learners and significantly broaden the target audience for the field.

翻译：本文提出了一种基于大语言模型的芯片设计教育学习平台，旨在使芯片设计对初学者易于入门，同时避免技术复杂性带来的认知负担。这是首个能够全面辅助学习者进行前端与后端设计的教育平台。所提出的方法将基于大语言模型的对话智能体集成到基于Tiny Tapeout生态系统的浏览器工作流中。该工作流引导用户从初始设计构思开始，经过RTL代码生成，最终完成可交付流片的芯片设计。为验证该理念，我们开展了包含18名高中生的案例研究。在90分钟的课程中，他们使用130纳米工艺开发了八个功能完整的VGA芯片设计。尽管所有参与者均无芯片设计经验，所有小组均成功实现了可流片的设计项目。研究结果证明了LLM辅助芯片设计的可行性与教育价值，凸显了其在吸引和激励早期学习者、显著拓宽该领域目标受众方面的巨大潜力。