The model learns by having a bit of textual content from the data (say, the opening sentence of the Wikipedia post) and seeking to predict the subsequent token in the sequence. It then compares its output with the actual textual content inside the teaching corpus and adjusts its parameters to appropriate any mistakes.one. Reward referral berlaku un