Instruction: Describe what tokenization is and why it's important in the context of Large Language Models.
Context: This question assesses the candidate's understanding of the fundamental preprocessing step in LLMs, highlighting its significance in the model's ability to understand and generate text.
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The way I'd explain it in an interview is this: Tokenization is the process of breaking text into smaller units the model can process, such as words, subwords, or byte-level pieces. The model does not see raw text the way humans do....
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