Verified65% confidenceFactExact time
OpenAI's GPT series is based on an autoregressive language model architecture, with the core training paradigm being next-token probability prediction.
3
Sources
65%
Confidence
Long-term
Relevance
7/18/2026
First Seen
Sources
Related Claims
UnverifiedCurrent mainstream generative AI models (such as the GPT series, Claude, etc.) are essentially probabilistic prediction systems trained on massive amounts of text, and their output is a sampling of the most likely language sequences in the training distribution80% similarVerifiedThe GPT series is trained by OpenAI primarily on English internet corpora using an autoregressive architecture76% similarVerifiedFrom GPT-1 to GPT-4, OpenAI followed a major-version-increment logic, where each major version number signifies a significant change in model architecture or training paradigm.76% similarUnverifiedOpenAI has chosen to develop reasoning models (o series) and conversational models (GPT series) separately.76% similar
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