AI models are computational frameworks trained to recognize patterns, make decisions, and generate outputs based on input data. These AI models power a wide range of intelligent applications—from voice assistants and fraud detection systems to recommendation engines and autonomous vehicles. Depending on their design, AI models can perform classification, regression, clustering, translation, and more. Deep learning models such as neural networks simulate brain-like structures to tackle complex tasks in vision, speech, and language. The success of AI systems largely depends on the quality, size, and diversity of data used during training. As businesses increasingly rely on automation and prediction, AI models remain fundamental to achieving scalable, intelligent solutions.