One model learns several related tasks during the same training run.
Multitask learning is like learning to juggle while riding a unicycle. Your balance gets better at both, even though they look different.
Related tasks train together and share useful patterns. You meet it in voice AI, image AI, and writing tools.
Transfer Learning
Multitask Learning helps related tasks share useful lessons.
Representation Learning
Several tasks push the model to learn one shared inner picture.
Supervised Learning
It often puts several labeled tasks into the same training run.