Unverified50% confidenceFactExact time
When large models generate text, they do not generate an entire sentence at once; instead, they generate tokens one by one, continuously predicting the next token and adding it to the context in a loop.
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50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
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Related Claims
UnverifiedLarge language models predict the next token one at a time through an autoregressive generation mechanism, and are naturally inclined to generate more complete rather than more concise code.80% similarUnverifiedLarge language models generate text in an autoregressive manner, where the production of each token depends on the context formed by all preceding tokens, following the chain rule of probability.79% similarUnverifiedLarge models comprehensively analyze the context of an entire sentence, rather than looking at individual words alone, to determine the output.77% similarVerifiedA large model is essentially a probability-based text generator that produces content by predicting the next token.77% similarUnverifiedLarge language models generate content based on predicting the next most likely token word by word, rather than retrieving answers from a factual database.76% similar
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