Unverified50% confidenceSolutionExact time
Methods for improving the draft acceptance rate include using early checkpoints of the main model as the draft model, fine-tuning the draft model on domain-specific data, and using a stronger small model as the draft model.
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50%
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Long-term
Relevance
9/6/2026
First Seen
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Unverified作者采用分阶段模型配比策略：方案设计阶段用能力更强的模型，后期代码编写阶段切换到成本更低的模型（约30%场景可用低配模型）73% similarUnverified少样本学习通过在Prompt中提供2-5个示例帮助模型快速理解输出格式和风格要求71% similarUnverifiedSmaller models are forced to produce highly explicit, step-by-step operational instructions, which happen to be exactly the type of input that large models are good at executing.70% similarUnverifiedSpeculative decoding uses a small local model to rapidly generate draft tokens, which are then verified and corrected by a large cloud-based model.68% similarVerifiedSpeculative 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.68% similar
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