Tokenization is a crucial process in natural language processing (NLP), acting as the first stage for preparing text data. Essentially, it involves dividing a larger block of content – like a phrase – into smaller units called “segments". These tokens can be strings, punctuation marks, or even sub-word segments. This transformation allows AI