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论文 DeepSeek-V3.2 DSA by pingxn7 is a document available to read on EtoBox.

What is 论文 DeepSeek-V3.2 DSA about?

DeepSeek-V3.2 introduces DeepSeek Sparse Attention (DSA) to address the computational complexity of standard attention mechanisms in long-context scenarios, reducing it from O(L²) to O(Lk) while maintaining model performance. DSA utilizes a Lightning Indexer for efficient token selection, allowing only the most relevant tokens to participate in core calculations. This innovation significantly lowers inference costs and enhances processing speed for long sequences.

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pingxn7

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OTHER