别再东拼西凑地学 LLM 原理了，这个 LLM Internals 直接给你画了一条完整路线。
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别再东拼西凑地学 LLM 原理了，这个 LLM Internals 直接给你画了一条完整路线。 从分词、BPE、Transformer，一路讲到训练、微调、RAG、Agent，再到推理优化。 1️⃣ Q/K/V、RoPE、因果掩码、GQA 等注意力机制 2️⃣ Transformer、MoE、LoRA、归一化等核心组件 3️⃣ 反向传播、交叉熵、RLHF、推理模型 4️⃣ KV Cache、Flash Attention、Paged Attention、投机解码等推理技术 每个模块还配了博客和视频，适合把零散知识重新串起来。 🔗 https://github.com/amitshekhariitbhu/llm-internals
Posted by lumxss (24.7k followers) 2 days ago · 382 likes · 16.3k views · view the original post on X. Kept by the Dev Radar as Careers & learning. Tools mentioned: llm-internals.
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