Transfer learning, a significant technique in artificial intelligence, enables models to apply knowledge from one domain to another, increasing efficiency, adaptability, and generalization. It functions by pre-training a model, extracting high-level features, and fine-tuning for a new task. Notably used in computer vision, natural language processing, and recommendation systems, it’s poised to further evolve AI applications.