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