I`m very very curious about these approach. In my understanding most of AI models: GPT, StableDiffusion, etc uses statistics approach for learning. I`m not sur

I`m very very curious about these approach. In my understanding most of AI models: GPT, StableDiffusion, etc uses statistics approach for learning. I`m not sure is it really possible to: - add new layer of confidence, - ability to provide correct source for claims, - ability to fine-tune one answer, in the nearest future. Example: can we teach GPT to learn that Sun color is cyan without retraining it from zero? So on any question (no matter how sophisticated it is) it always "know" that sun color is cyan? Can we teach GPT anything without retraining it?