Tokenization is a vital step in machine learning, acting as the initial point for preparing text data. Essentially, it involves splitting up a larger block of content – like a paragraph – into smaller units called “tokens". These tokens can be copyright, symbols, or even sub-morphological segments. This change allows AI models to then analyze