Improving AI using transfer and few-shot learning techniques

Transfer learning in the field of AI allows models to utilize their knowledge and skills gained from one task and apply them to another similar task, resulting in improved overall performance and reduced training time. AI systems can save significant time and computer resources by utilizing pre-existing models and customizing them for new tasks.