Part 6/13:
A key point is the shift from highly supervised to self-supervised and weakly supervised learning techniques. Using a metaphor of cake layers, the speaker illustrates how foundational data provides the base, while additional layers add refinement with minimal supervision.
This approach allows models to transfer knowledge across languages—meaning that adding a new language now requires significantly less data, akin to how humans can pick up new languages through minimal exposure by leveraging existing knowledge.