Verified65% confidenceFactExact time
The GPT series of models uses an autoregressive generation approach, predicting the next most likely output token by token.
3
Sources
65%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
Related Claims
VerifiedThe GPT series adopts the autoregressive training objective of "predicting the next word".80% 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78% similarVerifiedEach inference requires loading model weights into GPU memory and generating responses token by token; GPT-4-level model parameter counts are typically on the order of hundreds of billions.77% similarUnverifiedGPT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77% similar
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