The model learns by using a piece of textual content from the data (say, the opening sentence of a Wikipedia short article) and attempting to predict the subsequent token during the sequence. It then compares its output with the actual text from the training corpus and adjusts its parameters to right any problems.ChatGPT is owing for more upgrades