The model learns by using a chunk of textual content from the data (say, the opening sentence of a Wikipedia posting) and attempting to forecast the next token while in the sequence. It then compares its output with the particular textual content in the training corpus and adjusts its parameters https://mariooetpd.bloginder.com/36752398/5-easy-facts-about-winrate777-described