In the original paper on GPT three, they said large language models are in context learners. And that would be referred to as doing it in zero-shot, that you're not giving it any correct examples of how to translate. But there's another interpretation that I kind of liked better, which is that pre-trained models modeling a like multiverse of fictional documents. When you prompt the model, you're sort of in a superposition of like all possible documents that might continue from this one. It has pre-trained knowledge that it's leveraging there.

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