LLM Council
Orchestrates multiple Large Language Models to deliberate, debate, and synthesize responses through structured protocols.
Orchestrates multiple Large Language Models to deliberate, debate, and synthesize responses through structured protocols.
The LLM Council acts as a central server that queries various frontier AI models in parallel and combines their responses using advanced, structured protocols. It facilitates processes like voting, multi-round debates with adaptive stopping, chairman-led synthesis, peer critique, adversarial red teaming, and model-as-verifier fact-checking, ensuring robust and diverse outputs from heterogeneous LLM ensembles. This system aims to improve response quality, reduce costs through intelligent stopping mechanisms, and provide deeper insights by leveraging the collective intelligence of multiple AI agents.