Verified80% confidenceFactTime unknown
The token generation process of large language models is serial, based on an autoregressive mechanism, where each token's generation depends on the previous token.
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6/1/2026
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UnverifiedThe autoregressive generation mechanism of language models is essentially predicting the next token based on local context, lacking a persistently effective explicit goal representation that spans multiple rounds of interaction.75% 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75% similarUnverifiedThe autoregressive generation mode means the model must generate tokens one by one and cannot output an entire response in parallel.75% similarUnverifiedDuring Transformer model inference, input tokens can be processed in parallel (prefill stage), while output tokens must be generated one by one autoregressively (decode stage), causing the unit price of output tokens to typically be higher than that of input tokens.74% similarUnverified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
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