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Artisan: Automated Operational Amplifier Design via Domain-specific Large Language Model

SessionFoundation Models for EDA and Beyond

DescriptionThis paper presents Artisan, an automated operational amplifier design framework using large language models. We develop a bidirectional representation to align abstract circuit topologies with their structural and functional semantics. We further employ Tree-of-Thoughts and Chain-of-Thoughts approaches to model the design process as a hierarchical question-answer sequence, implemented by a mechanism of multi-agent interaction. A high-quality opamp dataset is developed to enhance the design proficiency of Artisan. Experimental results demonstrate that Artisan outperforms state-of-the-art optimization-based methods and benchmark LLMs, in success rate, circuit performance metrics, and interpretability, while accelerating the design process by up to 50.1x. Artisan will be released for public access.

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