LLMs can be specialized to a task without any fine-tuning where the prompt acts as a form of in-context learning approach, how does that work and what seems to happen internally in the network?
My understanding of the technology, and one of the “scary” things, is that those who created them cannot tell you how they do what they do. I don’t think there is currently an answer to this question.
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