Distillation is a way to make a big, powerful AI teach a smaller AI how to think like it. Instead of training the small model from scratch on raw data, you feed it the big model's answers and reasoning patterns so it can learn the "shortcuts." The result is a compact model that's much cheaper and faster to run, while keeping most of the big model's intelligence — like a condensed version of the original.