AI models are computational systems trained to recognize patterns, make predictions, and generate content based on input data. They are the foundation of intelligent applications used in speech recognition, computer vision, recommendation engines, and more. Common types include neural networks, decision trees, support vector machines, and transformer-based architectures. These AI models learn from data, continuously improve through feedback, and adapt to changing environments. Organizations use AI models to enhance customer experiences, streamline operations, and make data-driven decisions. Whether it’s automating processes or delivering personalized content, AI models power innovations across every sector. Explore how AI models are designed, validated, and deployed to support intelligent systems that perform complex tasks with high accuracy and efficiency.