论文略读：Not all Layers of LLMs are Necessary during Inference - 代码天地

论文略读：Not all Layers of LLMs are Necessary during Inference

物联网 2024-11-01 14:14:59 阅读次数: 0

202404

LLMs的推理阶段非常昂贵
- 目前实现LLM高效推理的流行方法包括模型剪枝和稀疏模型
  - 但这些方法可能会改变LLM参数，从而冒险损害其泛化能力。
- 这篇论文动态减少激活神经元的数量以加速LLM推理
  - 根据输入实例动态决定推理终止时刻

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转载自blog.csdn.net/qq_40206371/article/details/143256547

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