AI models are mathematical and computational algorithms designed to simulate human-like intelligence and decision-making. These AI models are trained on large datasets to recognize patterns, classify information, generate predictions, and automate tasks. Common types of AI models include neural networks, decision trees, support vector machines, generative models, and reinforcement learning agents. Each model serves a different function, such as image recognition, natural language understanding, speech processing, or autonomous control. AI models are used in applications ranging from chatbots and recommendation engines to fraud detection and robotics. This blog provides a detailed overview of different AI models, their core functions, use cases, and real-world applications, highlighting how they are revolutionizing industries and enabling smarter digital experiences for both businesses and consumers.