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      <title>知识点拆解｜大语言模型基础详解：Transformer、MoE 与 Scaling Law</title>
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      <description>LLM 是 VLA 的&amp;rsquo;大脑&amp;rsquo;，提供推理与常识能力。本文深入 Transformer decoder 架构（因果注意力、KV Cache、RoPE、SwiGLU、GQA）、MoE（DeepSeek-V3 风格）、Scaling Laws 以及 VLA 中常用的 LLM 系列（Qwen-2.5、InternLM、Llama-3）。</description>
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