AI models are computational systems trained to perform specific tasks such as prediction, classification, generation, and decision-making by analyzing large datasets. These AI models are the foundation of artificial intelligence, encompassing various types, including neural networks, decision trees, support vector machines, and generative models. Deep learning models like CNNs, RNNs, and transformers are widely used in applications such as image recognition, speech processing, and natural language understanding. AI models are developed through training on annotated data and continuously improved through testing and refinement. They enable machines to perform human-like tasks across industries, including healthcare, finance, autonomous vehicles, and customer service. The design, selection, and training of AI models determine their performance and application success.