Improving AI using transfer and few-shot learning techniques

In the field of AI, there is an ongoing effort to constantly improve efficiency. Two methods that have recently gained attention are transfer learning and few-shot learning, which have the potential to enhance AI efficiency. These techniques allow AI models to use previous knowledge and adapt to a small amount of new data, ultimately allowing them to gain a better understanding.