清华最新研究大幅提升Llama2通用智能体能力,直逼GPT-4水平
["清华大学最新研究提出AgentTuning方法,可以增强LLM的智能体能力。","构建了AgentInstruct智能体数据集,包含高质量的交互轨迹和CoT推理链。","采用混合指令微调策略,使用AgentInstruct与通用指令进行联合微调。","结果表明,AgentLM明显优于Llama 2,在held-in和held-out任务中表现出色。","70B版本的AgentLM在智能体任务上与GPT-3.5-turbo相匹配,提供开源替代方案。"]
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