The integration of a complex set of Electronic Design Automation (EDA) tools to enhance interoperability is a critical concern for circuit designers. Recent advancements in large language models (LLMs) have showcased their exceptional capabilities in natural language processing and comprehension, offering a novel approach to interfacing with EDA tools. This research paper introduces ChatEDA, an autonomous agent for EDA empowered by a large language model, AutoMage, complemented by EDA tools serving as executors. ChatEDA streamlines the design flow from the Register-Transfer Level (RTL) to the Graphic Data System Version II (GDSII) by effectively managing task planning, script generation, and task execution. Through comprehensive experimental evaluations, ChatEDA has demonstrated its proficiency in handling diverse requirements, and our fine-tuned AutoMage model has exhibited superior performance compared to GPT-4 and other similar LLMs.

翻译：复杂电子设计自动化（EDA）工具集成的互操作性优化是电路设计人员的关键关切。大型语言模型（LLM）的最新进展展示了其在自然语言处理与理解方面的卓越能力，为EDA工具交互提供了全新范式。本文提出ChatEDA——一种由大型语言模型AutoMage驱动的EDA自主智能体，配合作为执行器的EDA工具协同工作。ChatEDA通过有效管理任务规划、脚本生成与任务执行，将设计流程从寄存器传输级（RTL）精简至图形数据系统第二版（GDSII）。综合实验评估表明，ChatEDA能够熟练处理多样化需求，且我们微调的AutoMage模型在性能上优于GPT-4及其他同类LLM。