AI自我进化神器！Self-Refine让GPT-4输出飙升20%，无需训练即可搞定！
Self-Refine方法因其通过自我批评与反思显著提升大语言模型（LLM）输出质量，再度成为AI研究热点(https://arxiv.org/abs/2303.17651)。这一创新框架让单一LLM通过生成、反馈、优化的循环，自主迭代输出，无需额外训练或外部工具即可实现约20%的性能提升。AIbase观察到，Self-Refine对包括GPT-4在内的先进模型均有效，引发了开发者与研究者的广泛讨论。核心机制:三步循环实现自我优化Self-Refine的核心在于一个自我循环提示法，通过单一LLM扮演三个角色实现输出优化:生成初始回答:模型根据输入提示生成
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