The model learns by using a chunk of textual content from the info (say, the opening sentence of the Wikipedia write-up) and looking to predict the subsequent token inside the sequence. It then compares its output with the actual textual content while in the teaching corpus and adjusts its parameters to accurate any problems.It gives you a good dea