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The design learns by getting a bit of text from the information (say, the opening sentence of a Wikipedia post) and wanting to predict another token from the sequence. It then compares its output with the actual text from the training corpus and adjusts its parameters to suitable any problems.It will give you a great deal of data. Almost all of it