Unverified50% confidenceFactExact time
在AI推理场景下，生成Token的时间通常随输出长度线性增长（O(n)）
1
Sources
50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
UnverifiedLLMs generate text in an autoregressive manner, producing only one token at a time, requiring N forward inference passes to generate N tokens, with latency scaling linearly with output length.69% similarUnverified自回归生成机制决定了推理延迟与成本随输出长度线性增长68% similarUnverifiedAI叙事生成的高算力消耗主要来源于自回归生成机制，模型生成每个词元时都需完整执行一次前向传播计算，推理成本随长度近似线性增长67% similarUnverified大模型推理的自回归生成需要逐Token串行输出，生成N个Token需要N次前向传播67% similarUnverifiedThe performance of the O1 model can be continuously improved along two dimensions: train-time compute and inference-time compute.66% similar
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