Unverified50% confidenceFactExact time
Speculative decoding improves inference speed by using a small draft model to generate candidate tokens that are verified in parallel by the main model; sparse attention reduces computational complexity from O(n²) to near O(n).
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8/31/2026
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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.76% similarUnverified推测解码技术通过小模型预测草稿、大模型验证的方式加速生成，KV Cache共享机制降低重复请求的计算冗余75% similarUnverifiedSpeculative 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.75% similarUnverified推理强度的高和超高模式源于o1、o3系列模型引入的慢思考架构，通过消耗更多计算token来换取更高的准确率和逻辑一致性74% similarUnverifiedModels such as o1 and DeepSeek-R1 internalize chain-of-thought as a training objective, generating a large amount of internal draft reasoning before producing the final answer.74% similar
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