DSpark: Speculative decoding accelerates LLM inference [pdf]
ai
According to research from DeepSeek AI, a technique called speculative decoding can significantly accelerate language model inference. The method works by having a smaller, faster model predict upcoming text tokens, while a larger model verifies those predictions in parallel. If the predictions are correct, the output arrives faster without running full computations. The approach is published in DeepSeek's DSpark paper, which generated strong interest in the AI research community, suggesting this could be an important efficiency improvement for real-world LLM deployments.
Source: https://github.com/deepseek-ai/DeepSpec/blob/main/DSpark_...
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