Unverified50% confidenceFactExact time
GPT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
1
Sources
50%
Confidence
Long-term
Relevance
7/18/2026
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 GPT series of models are trained on trillion-scale text data through a self-supervised task of predicting the next token.81% similarUnverifiedLarge language models such as GPT and DeepSeek are fundamentally based on the Transformer architecture and learn linguistic patterns by predicting the probability distribution of the next token.80% similarUnverifiedThe GPT series follows the decoder route, adhering to the autoregressive language model objective, and has revealed the phenomenon of emergent capabilities through scaling.80% similar
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