Core Concepts of Artificial Intelligence

Define artificial intelligence and distinguish between narrow AI, general AI, and superintelligence.

Explain the difference between rule-based systems, machine learning, and deep learning approaches.

Describe the process of supervised learning, including the role of labeled data, model training, and evaluation.

Describe the primary goals of unsupervised learning, with examples such as clustering and anomaly detection.

Describe the core components of the reinforcement learning loop: agent, environment, state, action, and reward.