Improving AI using transfer and few-shot learning techniques

In the realm of English language, transfer learning involves utilizing the acquired understanding and skills acquired while solving a particular problem to tackle another connected issue. This can be achieved by utilizing pre-existing models that have already been trained, and transferring their relevant features and parameters. Training AI models in this way leads to more efficient learning using minimal data.