AI models are the foundation of intelligent systems that perform tasks like classification, prediction, translation, and pattern recognition. AI models are trained on large datasets and evolve through learning algorithms such as supervised, unsupervised, and reinforcement learning. Businesses implement AI models in areas like fraud detection, customer personalization, medical diagnostics, and real-time decision-making. Advanced types include neural networks and transformers used in natural language processing and computer vision. As the core of modern AI systems, these models enable machines to replicate human-like reasoning, continuously improve, and adapt to dynamic environments. Their application is crucial for automating complex, data-driven tasks.