Improving AI using transfer and few-shot learning techniques

In the process of feature extraction, a pre-existing model is used to extract certain features, with only the additional layers being trained for the specific task at hand. By using this approach, the model is able to utilize the general characteristics it has already acquired in the lower layers of the preliminarily educated model. As a result, the acquisition of particular features for the novel task is enhanced and carried out more efficiently.