Unverified50% confidenceFactExact time
主流大语言模型（如GPT系列、LLaMA、DeepSeek）采用自回归生成范式，生成第N个token时需以前N-1个token作为完整上下文输入
1
Sources
50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
UnverifiedMainstream large models such as the GPT series, LLaMA, and DeepSeek are all built on the autoregressive language model paradigm.84% similarVerifiedThe core mechanism of Large Language Models like the GPT series is a deep neural network based on the Transformer architecture77% similarUnverifiedTraditional large language models (such as GPT-4 in standard inference mode) primarily operate in a System 1-like mode, generating answers directly through a single forward pass.76% similarUnverifiedGPT系列底层架构基于自回归语言模型，通过逐Token预测的方式生成文本76% similarUnverifiedGPT系列和Claude等大语言模型通过指令微调和RLHF能够在零样本条件下完成高质量的语气转换75% similar
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