AI model training is the process of teaching artificial intelligence systems to recognize patterns, make predictions, or perform tasks by exposing them to large datasets. During training, the AI system analyzes data, learns from examples, and adjusts its internal parameters to improve its performance. This process enables AI models to identify trends, classify information, and solve problems based on the data they have seen. Effective training is crucial for AI to function accurately and reliably in real-world applications, such as image recognition, language processing, and cybersecurity threat detection.