Verified85% confidenceFactExact time
A higher acceptance rate means the draft model's guesses are more accurate and the large model needs to redo less work, which directly determines the actual speedup achieved by speculative decoding.
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85%
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Long-term
Relevance
9/11/2026
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UnverifiedA stronger draft model yields more accurate speculation and higher acceptance rates, but also incurs greater computational overhead for drafting itself, making speculation depth a hyperparameter that requires careful tuning.79% similarUnverified投机采样的理论加速上限由草稿模型的命中率决定，在创意写作、多语言等分布复杂场景下命中率会显著下降79% similarUnverifiedSpeculative decoding can achieve several-fold improvements in inference throughput when the draft acceptance rate is high.79% similarUnverifiedSpeculative decoding rapidly generates candidate tokens via a small draft model and then has the main model verify them in parallel, typically achieving a 2–4× speedup, with outputs that are mathematically equivalent to those produced without it and no loss in precision77% similarVerifiedOn convergent tasks, there is a clear performance saturation phenomenon after models reach a certain scale, where continued increases in parameter count or training data yield rapidly diminishing marginal contributions to accuracy.77% similar
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