The model learns by using a chunk of text from the info (say, the opening sentence of the Wikipedia post) and trying to predict the subsequent token during the sequence. It then compares its output with the particular textual content in the teaching corpus and adjusts its parameters to accurate any mistakes.It's not magic, it's math: The