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?
It’s fascinating! When LLMs are prompted without fine-tuning, they can still learn and specialize in a task by using the prompt as a way of understanding the context
It’s like they have their own way of learning and adapting internally within the network.
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