A Multi-agent system where LLMs challenge each other's answers

Show HN: A Multi-agent system where LLMs challenge each other's answers

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Hey HN,I've been experimenting with forcing multiple LLMs to critique each other before producing a final answer.In practice, I kept working around single-model limitations by opening multiple tabs, pasting the same question into different models, comparing responses, and then manually challenging each model with the others' arguments. (Maybe some of you can relate.) It worked sometimes, but it was cumbersome, slow, and hard to do systematically and efficiently.Based on my own experiments, a few things seem to drive why different models arrive at different responses: they have different guardrails, different tendencies encoded in their weights, and different training data. And the biggest ki

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