AI models are mathematical frameworks that learn patterns from data to make intelligent predictions, classifications, or decisions. They are the core of artificial intelligence systems, powering technologies such as recommendation engines, speech recognition, image analysis, and autonomous vehicles. AI models vary in complexity, from simple linear regressions to deep neural networks and transformers. Businesses use AI models to optimize customer service, forecast trends, detect anomalies, and personalize experiences. Training an AI model involves feeding it data and refining its performance using algorithms that improve over time. Well-designed AI models reduce errors, increase productivity, and adapt to evolving data. Understanding the types, applications, and capabilities of AI models is essential for organizations aiming to harness the full potential of artificial intelligence.