2 ms·

It uses up limited prompt space, though.

• johntb86 4y ago
  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".
• 1024core 4y ago
  "Fine tuning" has nothing to do with prompting.