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Oct, 2023
通过通信改进LLM代理
Adapting LLM Agents Through Communication
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Kuan Wang, Yadong Lu, Michael Santacroce, Yeyun Gong, Chao Zhang...
TL;DR
基于大语言模型,提出了通过交流学习(LTC)的训练方法,使得代理人能够不断地通过与环境和其他代理的互动进行改进,通过三种结构化通信模式进行特定任务的学习,并在不同领域展现了LTC方法的多样性和效率。
Abstract
Recent advancements in
large language models
(LLMs) have shown potential for human-like agents. To help these agents adapt to new tasks without extensive human supervision, we propose the
learning through communication<
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