Tokenization is a vital method in natural language processing (NLP), acting as the initial stage for preparing text data. Essentially, it involves dividing a larger block of information – like a sentence – into smaller units called “pieces". These tokens can be terms, symbols, or even sub-lexical segments. This transformation allows AI models