Unverified60% confidenceFactExact time
Speculative decoding technology, in which a local small model drafts answers and a large model verifies them, can improve overall throughput speed by 2 to 4 times without degrading quality.
2
Sources
60%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
本地AI爆发拐点：端侧部署、多模型协作与开源生态全解析
Related Claims
VerifiedSpeculative Decoding uses a small, fast draft model to predict multiple tokens in advance, which are then verified in parallel all at once by the large model.79% similarUnverifiedSpeculative decoding generates drafts with a small model and verifies them in batch with a large model; mathematically it guarantees output fully consistent with the large model through rejection sampling, making it lossless acceleration78% similarUnverified投机解码通过小型草稿模型提前生成候选token序列，可在保持输出质量前提下将LLM有效吞吐量提升2-3倍77% similar
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