PolyAgents – Multiple AI Models Together, Then Merge Ideas via Local Consensus

Summary

PolyAgents is a framework that runs multiple AI models in parallel and then merges their outputs through a local consensus mechanism to improve decision-making. This approach leverages the strengths of diverse models, potentially increasing robustness and accuracy in AI systems. Its collaborative method could influence future AI development by promoting ensemble strategies for complex problem-solving.