Biological perspective: we can see multi-task learning as being inspired by human learning. For learning new tasks, we often apply the knowledge we have acquired by learning related tasks.

Pedagogical perspective: we often learn tasks that provide us with the necessary skills to master more complex techniques first.

Machine learning perspective: We can view multi-task learning as a form of inductive transfer. Inductive transfer can help improve a model by introducing an inductive bias, which causes a model to prefer some hypotheses over others.