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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.