Multi-Agent debate
The multi-agent debate technique involves using multiple language model agents that engage in a debate to improve the factual basis and reasoning of the final answer. The agents take on different roles, such as making claims, challenging claims, and deciding the winner of the debate. For more information, see Improving Factuality and Reasoning in Language Models through Multiagent Debate.
To implement the multi-agent debate:
- Define the roles for the language model agents, for example: claimer, challenger, judge.
- Prompt the claimer agent to make an initial claim or argument.
- Pass the claimer's argument to the challenger agent and prompt it to provide counterarguments.
- Continue the debate for a predetermined number of rounds.
- Prompt the judge agent to evaluate the arguments and determine the winner.
- Use the winning argument as the final answer.
Example
Suppose we want to debate the statement "Zoos should be banned." Assign the following roles to the agents:
- Claimer: Zoos should be banned because they deprive animals of their natural habitats and freedom.
- Challenger: Zoos play an important role in conservation, education, and research, which outweighs the potential downsides.
- Judge: After reviewing the arguments from both sides, I believe the challenger has presented a more compelling case. Zoos, when properly managed, can contribute significantly to animal conservation and public education, which justifies their existence.
- Final Answer: Zoos should not be banned, because they can provide important benefits that outweigh the potential downsides.