The model learns by taking a chunk of text from the data (say, the opening sentence of a Wikipedia post) and trying to predict the next token while in the sequence. It then compares its output with the actual text inside the teaching corpus and adjusts its parameters to accurate https://winrate77756654.bloggadores.com/35235940/the-best-side-of-winrate777