Tokenization is a vital process in machine learning, acting as the initial point for preparing text data. Essentially, it involves breaking down a larger block of information – like a paragraph – into smaller units called “pieces". These tokens can be strings, special characters, or even sub-lexical segments. This conversion allows AI models