Just Keep Asking
Does increasing the number of AI agents improve their performance on a task?
This research paper from the Tencent China team tries to find out whether just organizing the existing AI models we have into teams of agents that work together on a problem improves their performance, i.e., squeezing greater intelligence from a crowd of similar intelligences.
Paper Title: More Agents Is All You Need
Who: Team from Tencent China
What did they study:
Does increasing the number of AI agents improve their performance on a task?
In essence, does brute force scaling of AI agents work?
How did they do it?
Create agents that in perform language model requests in two phases In query phase, the input is iteratively fed into the same LLM or multiple LLMs to get multiple outputs In the voting phase, a majority vote is taken on the best response
