DeepSeek Introduces DSpark Framework, Boosts AI Response Speeds by Up to 85% Today

According to South China Morning Post, DeepSeek introduced DSpark, a speculative decoding framework for its V4 model family, today (June 28), increasing per-user response speeds by up to 85%. The framework uses a lightweight draft model to propose candidate responses, which a larger model then verifies in batches, combined with semi-autoregressive generation and confidence-based scheduling to optimize performance across varying computing loads.
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