Tokenization breaks raw text into smaller units-such as words, sub-words, or characters-and maps each unit to a numeric token ID. This numerical sequence is what the model actually consumes. Splitting datasets, compressing parameters, or encrypting prompts are separate preprocessing or security tasks and are not part of tokenization itself.
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Fundamentals of Generative AI
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