What are the differences between using a one-shot learning approach and an AI-focused strategy in the context of machine learning models?

In one-shot learning, a model is trained with just one example per class, making it efficient but less accurate. An AI-focused strategy involves training a model with a large dataset to improve accuracy but requires more time and resources.