Unverified50% confidenceFactExact time
Fertility is calculated as the total number of tokens produced by the tokenizer after processing the target-language corpus divided by the total number of original words.
1
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50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedVocabulary allocation strategies are typically implemented during the tokenizer training phase by adjusting the sampling ratio for each language.72% similarUnverifiedTraditional autoregressive language models sample from the entire vocabulary (typically tens of thousands to hundreds of thousands of tokens) or select the highest-probability token during generation.71% similarVerifiedLarge language models are trained on vast corpora of text data and learn to predict the probability distribution of the next word70% similarUnverified大语言模型的用量计费通常基于token（词元）消耗，而非简单的对话次数69% similarUnverifiedText generation in large language models is autoregressive, and the number of output tokens is nearly proportional to response time68% similar
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