Tokenization is a vital process in machine learning, acting as the beginning stage for preparing text data. Essentially, it involves breaking down a larger block of information – like a phrase – into smaller units called “segments". These tokens can be terms, punctuation marks, or even sub-morphological segments. This change allows AI models … Read More