The product learns by taking a bit of textual content from the info (say, the opening sentence of the Wikipedia posting) and trying to forecast another token in the sequence. It then compares its output with the particular textual content during the instruction corpus and adjusts its parameters to suitable any errors.According to an OpenAI blog si