Why can a model perform better in one language than another?
Differences in training examples, tokenization efficiency, evaluation coverage, and later fine-tuning can make the same model substantially more capable in some languages than in others.
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More FAQs in What language do large language models understand?
Not necessarily. A multilingual model can learn representations across several languages, and its internal vectors are not simply an English translation hidden behind the interface.
Binary is how computers represent data at a low level. A token ID is a vocabulary index that can itself be stored using binary digits.
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