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You can change the temperature if you like. Have a 1000 agents being 'normal' and 10 being chaotic.


High temperature makes the LLM pick more out-of-distribution tokens, but the choices its presented with are still the same or same-ish. I'm not convinced that the more random outputs don't end up averaging to roughly the same conclusion after enough passes.




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