The model learns by getting a piece of textual content from the info (say, the opening sentence of a Wikipedia article) and seeking to predict the following token while in the sequence. It then compares its output with the actual textual content in the teaching corpus and adjusts its parameters https://stevef319gnt5.wikiparticularization.com/user