DeepSeek宣布推出NSA，用于超快速的长上下文训练和推理。

　　据其介绍，NSA是一种与硬件一致且本机可训练的稀疏注意力机制，用于超快速的长上下文训练和推理。

　　通过针对现代硬件的优化设计，NSA加快了推理速度，同时降低了预训练成本，而不会影响性能。

　　在一般基准测试、长上下文任务和基于指令的推理上，它与完全注意力模型相匹配或优于完全注意力模型。

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