LLM agents design op-amps using human-mimicking reasoning

Researchers have developed White-Op, a new framework that uses large language model agents to assist in the behavioral-level design of operational amplifiers (op-amps). This system employs a decoupled symbolic reasoning and numerical solving approach, where the agent generates step-by-step symbolic reasoning to formulate optimization problems. These problems are then solved programmatically, verified through simulation, and refined iteratively, incorporating human-like reasoning mechanisms into the design process. AI

IMPACT Introduces a novel agentic reasoning framework for complex engineering design tasks, potentially improving efficiency and interpretability in specialized fields.

RANK_REASON This is a research paper detailing a novel framework for circuit design.

Read on arXiv cs.AI →

• arXiv
• LLM
• Zihao Chen

• paper
• other

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →