The product learns by getting a bit of text from the information (say, the opening sentence of a Wikipedia post) and trying to forecast the subsequent token within the sequence. It then compares its output with the particular textual content inside the coaching corpus and adjusts its parameters to correct any issues.The destination folder shouldn't