Glossary
Multi-agent debate
In short
Having models argue different positions on a question, then settle on a conclusion, so the reasoning is tested rather than taken at face value.
Instead of accepting one model’s first answer, debate has models take positions and challenge each other. Weak arguments tend to fall apart under that pressure, and the conclusion that survives is usually better reasoned.
It is most useful for questions with real tradeoffs or a right answer that is easy to get confidently wrong, where seeing the argument matters as much as the verdict.
In LLMWeave
A debate weave has models argue competing positions and then decide, with the reasoning shown rather than hidden behind one model’s preference.
Related terms
Consensus
The points that several models agree on, which tend to be more reliable than any single model’s claims.
Reasoning model
A model built to work through problems step by step before answering, rather than responding in a single pass.
Best-of-N
Generating several candidate answers and keeping the best one, instead of trusting a single attempt.
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