GUIDE:数字设计教育中的生成式人工智能单元 / GUIDE: GenAI Units In Digital Design Education
1️⃣ 一句话总结
这篇论文介绍了一个名为GUIDE的开放式课程资源库,它通过标准化的教学单元(包含幻灯片、视频、可运行实验和相关论文)来系统化地整合生成式AI工具,以提升数字芯片设计教育的教学一致性和实践效果,并已在多门课程和竞赛中得到成功应用。
GenAI Units In Digital Design Education (GUIDE) is an open courseware repository with runnable Google Colab labs and other materials. We describe the repository's architecture and educational approach based on standardized teaching units comprising slides, short videos, runnable labs, and related papers. This organization enables consistency for both the students' learning experience and the reuse and grading by instructors. We demonstrate GUIDE in practice with three representative units: VeriThoughts for reasoning and formal-verification-backed RTL generation, enhanced LLM-aided testbench generation, and LLMPirate for IP Piracy. We also provide details for four example course instances (GUIDE4ChipDesign, Build your ASIC, GUIDE4HardwareSecurity, and Hardware Design) that assemble GUIDE units into full semester offerings, learning outcomes, and capstone projects, all based on proven materials. For example, the GUIDE4HardwareSecurity course includes a project on LLM-aided hardware Trojan insertion that has been successfully deployed in the classroom and in Cybersecurity Games and Conference (CSAW), a student competition and academic conference for cybersecurity. We also organized an NYU Cognichip Hackathon, engaging students across 24 international teams in AI-assisted RTL design workflows. The GUIDE repository is open for contributions and available at: this https URL.
GUIDE:数字设计教育中的生成式人工智能单元 / GUIDE: GenAI Units In Digital Design Education
这篇论文介绍了一个名为GUIDE的开放式课程资源库,它通过标准化的教学单元(包含幻灯片、视频、可运行实验和相关论文)来系统化地整合生成式AI工具,以提升数字芯片设计教育的教学一致性和实践效果,并已在多门课程和竞赛中得到成功应用。
源自 arXiv: 2603.17296