Tokenization is a essential method in machine learning, acting as the initial phase for preparing text data. Essentially, it involves dividing a larger block of text – like a sentence – into smaller units called “segments". These tokens can be copyright, symbols, or even sub-word segments. This transformation allows AI systems to then analyze