Chain-of-Agents on a Real Enterprise Document: What Actually Happened
中文摘要
NeurIPS 2024 论文提出 Chain-of-Agents，这种多智能体架构在处理长文档时优于全上下文提示和 RAG。
English Summary
The NeurIPS 2024 paper introduces Chain-of-Agents, a multi-agent architecture that outperforms full-context prompting and RAG for long-document tasks.
原文节选
A NeurIPS 2024 paper claims a multi-agent architecture beats both full-context prompting and RAG on long-document tasks. I built it from… Continue reading on Medium »