提示词技术解锁大模型多样性
这篇文章讨论了一项关于大语言模型（LLM）多样性的前沿研究。后训练过程常导致模型多样性下降，引发模式崩溃现象，而研究指出这源于数据级的典型性偏差，而非算法限制。作者提出语言化采样（Verbalized Sampling）方法，可有效缓解问题...
共 1 篇文章
这篇文章讨论了一项关于大语言模型（LLM）多样性的前沿研究。后训练过程常导致模型多样性下降，引发模式崩溃现象，而研究指出这源于数据级的典型性偏差，而非算法限制。作者提出语言化采样（Verbalized Sampling）方法，可有效缓解问题...
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