Artificial intelligence systems learn from vast data sets through techniques like machine learning and deep learning. These systems identify patterns and correlations, allowing them to make predictions and enhance performance over time. By processing large amounts of structured and unstructured data, AI models improve their accuracy and adaptability, enabling them to handle complex tasks. The iterative learning process helps AI continuously evolve, making it more effective in solving real-world problems.