Finetuning uses a limited number of examples and gradient descent to modify network weights, so it doesn't need to modify the prompt. Methods that modify the pr

Finetuning uses a limited number of examples and gradient descent to modify network weights, so it doesn't need to modify the prompt. Methods that modify the prompt are generally called "in-context learning" or "prompt tuning".