BriefGPT.xyz
Feb, 2024
无需修改语言模型的训练语言模型代理
Training Language Model Agents without Modifying Language Models
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Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang...
TL;DR
通过AgentOptimizer提出了一种新的大型语言模型代理训练范式,通过更新代理的功能而不改变大型语言模型权重,通过回滚和提前停止策略来简化训练过程,可显著提高代理在各类下游任务中的性能。
Abstract
Researchers and practitioners have recently reframed powerful
large language models
(LLMs) as agents, enabling them to automate complex tasks largely via the use of specialized functions. To facilitate the development of
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