And the current approach of training separate models for everything means you need lots of data about that particular problem, because you're effectively trying to learn everything about the world and that problem, from nothing.
Y el enfoque actual de entrenar modelos separados para todo significa que se necesitan muchos datos acerca de ese problema particular, porque efectivamente se intenta aprender todo del mundo y ese problema, desde cero.