Sparse Attention
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DeepSeek-V3.2-Exp: What’s New in DeepSeek’s Latest Model
DeepSeek’s experimental V3.2-Exp model introduces “DeepSeek Sparse Attention” (DSA) to enhance efficiency, reduce costs, and handle longer documents. DSA filters less relevant data, potentially halving operational costs. While promising faster, cheaper AI deployment, concerns exist about potential loss of critical data nuances and impact on model reliability. Designed for Chinese AI chips, DeepSeek’s open-source approach encourages collaboration but faces potential patent challenges. The focus on efficiency positions DeepSeek competitively in the evolving AI landscape.
