Unverified50% confidenceFactExact time
大模型推理的本质是自回归生成，即不断预测下一个token
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50%
Confidence
Long-term
Relevance
7/11/2026
First Seen
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Related Claims
UnverifiedThe core mechanism of large model inference is probability-based Next Token Prediction, generating complete output word by word.85% similarUnverified传统自回归推理中，模型每一步只能基于已有上下文预测下一个token，是串行依赖关系85% similarUnverifiedAutoregressive generation refers to the model predicting the next token each time based on all previously generated tokens, progressively unfolding until a complete code block is generated80% similarUnverifiedLarge language models are fundamentally performing probabilistic predictions of the next most likely token in a sequence.80% similarUnverified分类模型的推理是非自回归的，仅需一次前向传播即可完成所有位置预测，计算效率显著高于生成模型78% similar
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