Tokenization is a crucial method in machine learning, acting as the initial stage for preparing text data. Essentially, it involves dividing a larger block of information – like a paragraph – into smaller units called “segments". These tokens can be terms, symbols, or even sub-word segments. This transformation allows AI models to then analyz