
Researchers are exploring the use of multiple AI agents to improve performance in solving complex questions over many documents. Studies suggest that scaling up the number of agents can enhance AI accuracy, with ensembles of 15 agents achieving comparable results to larger ensembles.

Sunday morning read: More Agents is All You Need by Junyou Li et al. ☕️ We've all heard about scaling the number of parameters, but what about scaling the number of agents? From the paper, "LLM performance may likely be improved by a brute-force scaling up of the number of… https://t.co/ThehKDxrwT
"More Agents Is All You Need" - Nice Paper "When the ensemble size scales up to 15, Llama2-13B achieves comparable accuracy with Llama2-70B. Similarly, When the ensemble size scales up to 15 and 20, Llama2-70B and GPT-3.5-Turbo achieve comparable accuracy with their more… https://t.co/WeHda4SAHn
More Agents Is All You Need Li et al.: https://t.co/AjglzG1YaH #AIAgent #ChatGPT #DeepLearning https://t.co/QzYtn5sWn5