The model learns by getting a piece of text from the info (say, the opening sentence of a Wikipedia short article) and wanting to forecast the following token during the sequence. It then compares its output with the actual textual content in the schooling corpus and adjusts its parameters to proper any blunders.It offers you a lot of information.