A feedback-driven multi-agent framework with enhanced retrieval and reasoning lets GPT-4o complete power system simulation tasks with roughly 93 to 97 percent success on the authors' benchmark.
How do large language models acquire factual knowledge during pretraining?
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Enhancing LLMs for Power System Simulations: A Feedback-driven Multi-agent Framework
A feedback-driven multi-agent framework with enhanced retrieval and reasoning lets GPT-4o complete power system simulation tasks with roughly 93 to 97 percent success on the authors' benchmark.