Example Concept: AI models, especially those based on machine learning, learn by identifying patterns in data. Large datasets provide a comprehensive range of examples, allowing the model to learn the underlying structure of the data, reduce overfitting, and improve its ability to generalize to new, unseen data. This is crucial for tasks like image recognition, natural language processing, and predictive analytics, where variability in input data is high.