training
Transfer Learning
A technique where knowledge gained from training on one task is applied to a different but related task. Transfer learning enables models to achieve strong performance on new tasks with limited data by leveraging patterns learned from large-scale pre-training.
In practice
A model pre-trained on general text can be transfer-learned to classify medical documents with just a few hundred examples.