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![[논문 리뷰] Controlled LLM Decoding via Discrete Auto-regressive Biasing](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/controlled-llm-decoding-via-discrete-auto-regressive-biasing-1.png)























![[LLM] 大模型基础|预训练|有监督微调SFT | 推理_llm sft-CSDN博客](https://i-blog.csdnimg.cn/blog_migrate/85f59702280880a0225fd89295fcbd84.png)

![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://picx.zhimg.com/v2-c463126ee93ce1796d1310b0af8af575_720w.jpg?source=172ae18b)




![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pic2.zhimg.com/v2-5852071cce2d1484daca0c69256b8363_r.jpg)
![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pic4.zhimg.com/v2-49873b03a9d9573d7c48a6ee3195a3ed_1440w.jpg)
![[LLM] 大模型基础|预训练|有监督微调SFT | 推理_llm sft-CSDN博客](https://i-blog.csdnimg.cn/blog_migrate/9bc2c9b8a98c50efdabb4d5bac73b7ea.png)
![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pic1.zhimg.com/v2-1d6538615bbc917025de488309baf5c6_r.jpg)
![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pic1.zhimg.com/v2-e6adf3faced2e1e6c8c05b4c673990f6_1440w.jpg)
![[LLM] 大模型基础|预训练|有监督微调SFT | 推理_llm sft-CSDN博客](https://i-blog.csdnimg.cn/blog_migrate/364c293e793ab9b79508ee4ffb087ce0.png)



![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pic3.zhimg.com/v2-e4b3fa5b38b9bea854fa2b0c0401f616_r.jpg)























![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pica.zhimg.com/v2-9fe348e48ef3f88508dd8cc7c9b990be_1440w.jpg)

![[Day 23]為何LLM每次的回答都不一樣?淺談DeepSeek模型與Self-Consistency實戰應用 - iT 邦幫忙::一起幫忙 ...](https://hackmd.io/_uploads/S1uh1UZyJl.png)




![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pic3.zhimg.com/v2-450e64797fa18a001674c4bd28506362_r.jpg)




![[文献笔记]LLM和知识图谱的协同-part 1-intro - 知乎](https://pic4.zhimg.com/v2-daa30b7f64e7e661622e284fcd22330f_b.jpg)


![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://picx.zhimg.com/v2-d180cdfc775293c323c2cf7e2a0b4899_r.jpg)
![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://picx.zhimg.com/v2-e557c36829a42e6a1062382978360767_r.jpg)










![[LLM 推理服务优化] DistServe速读——Prefill & Decode解耦、模型并行策略&GPU资源分配解耦 - 知乎](https://pic3.zhimg.com/v2-829b2807f61b52449846471f97bdbfe6_r.jpg)











