Tokenization is a crucial process in machine learning, acting as the first stage for preparing text data. Essentially, it involves breaking down a larger block of content – like a sentence – into smaller units called “segments". These tokens can be copyright, punctuation marks, or even sub-lexical segments. This conversion allows AI models to