From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
Read OriginalThis technical article examines the evolution of DeepSeek's flagship open-weight models from V3 to V3.2. It details the model's architecture, its novel sparse attention mechanism requiring custom code, and reinforcement learning updates. The piece compares its performance to proprietary models like GPT-5 and Gemini 3.0 Pro, based on the official technical report.
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