AaLLM framework uses multi-agent LLMs for automated analog circuit design

Researchers have developed AaLLM, an open-source, multi-agent large language model framework designed to automate analog circuit design. This system generates circuit topologies and sizes them based on user specifications, drawing knowledge from research papers and textbooks via a RAG model. AaLLM employs a novel tri-agent feedback loop involving a Designer, Critic, and Evaluator to refine designs, significantly reducing iteration time and SPICE calls compared to existing methods. AI

IMPACT This framework could significantly accelerate analog circuit design by automating topology generation and sizing, reducing development time and cost.

RANK_REASON The cluster describes a new research paper detailing a novel framework for analog circuit design using LLMs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

• AaLLM
• large-language models
• RAG model
• Spice

• paper
• product

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