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A loop of GPT-3.5 instances calling tools and self-critiquing beats standalone GPT-4 in HumanEval. GPT-4 with same loop reaches human programmer performance. The setup uses multiple model instances communicating and debating. GPT-4 has ten times more parameters than GPT-3.5. The agent swarm approach improves performance through collaboration and self-correction.
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