The model learns by getting a piece of textual content from the data (say, the opening sentence of the Wikipedia report) and wanting to forecast the following token while in the sequence. It then compares its output with the actual text inside the education corpus and adjusts its parameters to https://olivere791zup8.salesmanwiki.com/user