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.

ChatEDA 是一个由大型语言模型 AutoMage 支持的自主代理系统，通过有效管理任务规划、脚本生成和任务执行，实现了从 RTL 到 GDSII 的设计流程简化，并且在处理多样化需求方面表现出卓越的性能。