Improving AI using transfer and few-shot learning techniques

The area of artificial intelligence called few-shot learning intends to enhance the efficiency of AI by teaching models to recognize novel objects or concepts with a restricted amount of data. Unlike conventional machine learning methods that necessitate a vast amount of labeled data, few-shot learning concentrates on circumstances where labeled data is scarce or costly.