Improving AI using transfer and few-shot learning techniques

AI models frequently need extensive computational resources and extensive datasets during the training process, which can be both expensive and time-consuming. Therefore, it is of utmost importance to focus on optimizing effectiveness in order to make AI more feasible and widely available in different fields of application.