不仅是提升效率，线性注意力在数据受限情况下也可能提升效果。 注意力机制（Attention）是 Transformer 架构大型语言模型（LLM）的核心机制，它决定了模型如何处理、理解海量的文本信息。然而，传统全注意力机制的计算开销会随文本长度呈平方级暴增，这正是 ...

在大型语言模型（LLM）的发展中，注意力机制始终是核心组件。传统全注意力机制虽能高效处理信息，但其计算复杂度随文本长度呈平方级增长，成为处理长文档的瓶颈。近年来，研究者们开始探索“稀疏注意力”和“线性注意力”两种改进方向，试图在效率与 ...

因此 KDA 可以看成 Gated 线性注意力 + DeltaNet，而 Gated DeltaNet 是 DeltaNet + Mamba 2；在衰减粒度上，它们关系就像 GLA 和 Mamba 2 的差别。 晚点：为什么 Qwen3-Next 和 Kimi Linear 现在都要把线性注意力和完全注意力（full Attention）混用，不能全用线性的？

注意力机制（Attention）是 Transformer 架构大型语言模型（LLM）的核心机制，它决定了模型如何处理、理解海量的文本信息。然而，传统全注意力机制的计算开销会随文本长度呈平方级暴增，这正是限制模型处理长文档、长上下文的关键瓶颈。 今年初，《晚点聊 ...

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