Learn how text datasets are parsed into token integers, why LLMs charge pricing per token, and how it impacts system memory.
Large Language Models cannot read text directly. Tokenization is the preprocessing step that splits sentences into small byte-pair fragments (tokens) and assigns an integer code to each unique fragment.
A rule of thumb is that 100 English words represent roughly 130 to 140 tokens. For non-English languages, characters often consume more tokens because the default vocabulary lacks dense representation for them.
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