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Reprogramming by inquiring politely. How much much better is (un-finetuned base) GPT-3? The GPT-3 neural network is so large a model in conditions of electrical power and dataset that it reveals qualitatively various conduct: you do not use it to a fastened established of tasks which were being in the education dataset, necessitating retraining on additional facts if 1 needs to handle a new task (as one would have to retrain GPT-2) rather, you interact with it, expressing any process in conditions of pure language descriptions, requests, and illustrations, tweaking the prompt right up until it "understands" & it meta-learns the new endeavor dependent on the high-amount abstractions it uncovered from the pretraining. Instead, to get all these diverse behaviors, one gives a brief textual input to GPT-3, with which it will forecast the following piece of textual content (as opposed to starting off with an vacant enter and freely producing something) GPT-3, just by examining it, can then flexibly adapt its composing fashion and reasoning and use new definitions or procedures or words outlined in the textual input no issue that it has hardly ever seen them right before

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