Can I tokenize text locally?
Yes, you can run tokenizers locally using libraries like Tiktoken or HuggingFace Tokenizers to count tokens before calling APIs.
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More FAQs in What is Tokenization and How do LLMs Read Text?
Subwords allow the model to handle typos, prefixes, and suffixes efficiently without expanding the vocabulary index into millions of words.
LLM providers charge per token processed, not per word or character. Long prompts cost more because they translate to more tokens.
A word or character the tokenizer doesn't recognize, which is replaced by a special [UNK] token.
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