Tokenization is a crucial process in machine learning, acting as the first phase for preparing text data. Essentially, it involves splitting up a larger block of content – like a paragraph – into smaller units called “pieces". These tokens can be strings, symbols, or even sub-word segments. This transformation allows AI models to then analyze