You fine tune small models for different purposes. Small because big models are hardware intensive and for a special purpose you may not need the big model anyw

You fine tune small models for different purposes. Small because big models are hardware intensive and for a special purpose you may not need the big model anyway. After you tune your small model for your special purpose, you ask it questions from a standard set to make sure you haven't tuned your model into incoherence.