Tokenization is a essential method in machine learning, acting as the first phase for preparing text data. Essentially, it involves splitting up a larger block of content – like a sentence – into smaller units called “pieces". These tokens can be terms, punctuation marks, or even sub-lexical segments. This conversion allows AI models to then