Verified80% confidenceFactTime unknown
Current mainstream large language models are essentially probabilistic prediction systems based on the Transformer architecture, generating content by predicting the next most likely token.
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80%
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Long-term
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5/31/2026
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VerifiedLarge language models are essentially probability prediction systems based on the Transformer architecture, generating text by predicting the next most likely word.94% similarVerifiedModern large language models are based on the Transformer architecture and generate text by predicting the probability distribution of the next token, with the training objective of minimizing cross-entropy loss81% similarVerified大语言模型本质上是一个基于概率的文本预测系统，其核心机制是「下一个词预测」（Next Token Prediction），并不真正理解语义77% similar
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