Transfer Learning
Reusing a model trained on one task to bootstrap another.
Transfer learning takes the knowledge a model gained on a large general task and adapts it to a new, often smaller task. Pretrain-then-fine-tune is the dominant form, and it is why a single foundation model can be specialized for countless applications.