Improving AI using transfer and few-shot learning techniques

In the field of deep learning, transfer learning involves using a neural network model that has already been trained to solve a related problem, rather than starting from scratch. This approach utilizes the existing knowledge and capabilities of the model to improve its performance on a new, but comparable task.