Tokenization is a essential method in machine learning, acting as the initial phase for preparing text data. Essentially, it involves breaking down a larger block of content – like a paragraph – into smaller units called “pieces". These tokens can be strings, punctuation marks, or even sub-word segments. This transformation allows AI systems