This touches on how large language models (LLMs) operate! tokenization is the fundamental process in natural language processing (NLP) of breaking down raw text into smaller units called tokens, such as words, subwords, or characters. This is a crucial first step that transforms unstructured text into a structured format that machine learning models can process.

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