AI Models are mathematical algorithms and computational systems trained to perform specific tasks by learning patterns from data. They represent the core intelligence component of AI systems that can make predictions, classifications, or decisions.

Types of AI models include:

• Machine Learning Models: Learn from training data (supervised, unsupervised, reinforcement)
• Deep Learning Models: Neural networks with multiple layers for complex pattern recognition
• Large Language Models (LLMs): Transformer-based models trained on vast text corpora
• Computer Vision Models: Specialized for image and video analysis
• Generative Models: Create new content (text, images, audio, code)

AI models are characterized by their architecture, training methodology, performance metrics, and the specific tasks they're designed to accomplish. Model selection depends on the problem type, available data, computational resources, and performance requirements.