An AI Model is a computational system that has learned patterns from data so it can perform tasks such as classification, prediction, recommendation, generation, or decision-making. During training, the model adjusts its internal parameters to recognize relationships in the data; once trained, it can apply those learned patterns to new inputs.
Different AI models are designed for different purposes, including language understanding, image recognition, forecasting, speech processing, and generative tasks. Their performance depends on factors such as training data, model architecture, parameters, and how well the model matches the problem it is being used to solve.
