LLM Council FAQs

Question 1

What is LLM Council?

Accepted Answer

LLM Council is a powerful tool designed to orchestrate multiple Large Language Models (LLMs) to deliberate, debate, and synthesize responses. It uses structured protocols to enhance the quality, reliability, and cost-efficiency of AI-generated outputs.

Question 2

What unique deliberation protocols does LLM Council offer?

Accepted Answer

LLM Council provides a range of advanced protocols, including Vote, Debate (with adaptive stopping), Synthesize, Critique, Red Team, and MAV (Model as Verifier). Each protocol serves a specific purpose, from consensus-building to adversarial testing and factual verification.

Question 3

How does LLM Council improve cost efficiency and prevent model bias?

Accepted Answer

For cost efficiency, LLM Council uses an adaptive debate stopping mechanism based on the KS statistic, which can cut costs by up to 94.5%. To prevent bias, it employs anonymous peer review during voting and critique protocols, ensuring models evaluate responses fairly without provider favoritism.

Question 4

Which Large Language Models are supported by LLM Council?

Accepted Answer

LLM Council supports heterogeneous frontier models from leading providers. This includes models from OpenAI (e.g., GPT-5.4), Google (e.g., Gemini 2.5 Pro), and Anthropic (e.g., Claude Sonnet 4.6), allowing you to leverage diverse AI capabilities for robust deliberation.

Question 5

What is the 'Model as Verifier' (MAV) protocol?

Accepted Answer

MAV (Model as Verifier) is a protocol where multiple LLMs independently score a candidate answer to verify its correctness. Unlike simple consensus, MAV provides a stronger signal by identifying disagreements and ensuring factual accuracy, proving that 'consensus is not verification'.

LLM Council

LLM Council

주요 기능

사용 사례

주요 기능

사용 사례