Unverified50% confidenceFactExact time
GPT系列模型引入因果掩码（Causal Mask），确保生成每个token时只能看到前序上下文，实现自回归式逐词生成
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Fable延期至7月19日：AI交互叙事产品的挑战与启示
Related Claims
UnverifiedGPT系列采用单向（因果）注意力掩码，使模型在预训练阶段每个token只能关注其之前的上下文，与BERT等双向模型形成根本区别77% similarUnverifiedThe GPT series of models uses an autoregressive generation approach, predicting the next most likely output token by token.77% similarVerifiedThe GPT series uses the Decoder-only variant of the Transformer, predicting the next Token autoregressively.76% similarUnverifiedWhen modifying a method, the GPT model proactively checks all places in the project that call that method and completes the changes accordingly.72% similarUnverifiedGPT-series models use unidirectional autoregressive pre-training and can only see historical information to the left of the current token.71% similar
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