Multi-AI collaboration sounds like a mouthful of gobbly gook. However, this approach makes much sense to refine the reasoning abilities of Large Language Models ("LLMs"), and sharply reduce hallucinations, potential inaccuracies, and flawed reasoning.
Assuming the LLMs are truly independent, the strategy to discuss and effectively argue with one another allows the agents for each LLM to converge on a best possible answer to a given query.
The Multi-AI collaboration also may be a key part of generating an understanding of why a specific LLM provided a particular answer. This approach also will have application to age-appropriate learning.
For more information ==> <a ref="https://news.mit.edu/2023/multi-ai-collaboration-helps-reasoning-factual-accuracy-language-models-0918">MIT News release</a>