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Chinese AI startup DeepSeek introduced DSpark, a speculative decoding inference framework that delivers responses up to 85% faster. The system uses a lightweight draft model to predict candidate responses for batch verification, reducing latency and hardware costs without requiring larger computing clusters.
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