What if we had 10,000 examples of input pairings and desired outputs. These have been vetted, they have been scored for quality and we only use the top examples in the dataset. We feed in that as a fine-tuning model, the AI devours that information and understands from those 10,000 examples exactly the type of content, tone of voice, style and everything else that we want to get out. That is fine-tuning. That is how to build a superior model and create something which a lot of other tools don't have because they won't build out that dataset.