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Verified75% confidenceFactTime unknown

大语言模型的Token生成过程是串行的，基于自回归机制，每个Token的生成都依赖于前一个Token

3

Sources

75%

Confidence

Long-term

Relevance

6/1/2026

First Seen

Sources

Cursor上线Claude Opus 4快速模式：速度快2.5倍，成本贵6倍值得用吗？

twittercursor_ai

Related Entities

自回归机制concept 大语言模型concept

Related Claims

Unverified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75% similar Unverified推理 Token（Reasoning Token）概念源自 OpenAI o 系列模型，模型在输出可见答案前会先消耗 Token 进行内部推导，这些中间步骤对用户不可见但消耗真实算力72% similar UnverifiedLLM采用自回归方式生成文本，每次只生成一个Token，生成N个Token需要N次前向推理，延迟与输出长度呈线性关系71% similar Unverified现代大语言模型采用自回归（Auto-regressive）方式生成代码，每次预测下一个Token只能参考已有上下文70% similar Unverified模型生成是自回归（Autoregressive）的串行过程，每次只生成一个Token，导致输出阶段无法充分并行化，计算强度高于输入编码阶段69% similar

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