Improving AI using transfer and few-shot learning techniques

Meta-learning is a technique that focuses on the capacity to quickly learn or adapt to unfamiliar tasks. This process entails training a model on different similar tasks so that it can effectively apply and transfer the knowledge it acquires to new and unknown tasks.