What is Train Ai Model?
Training an AI model involves teaching the model to recognize patterns and make predictions using large datasets. This process typically includes data collection, preprocessing, model selection, training, and validation. During training, algorithms adjust model parameters based on input data and corresponding outputs to minimize error. The goal is to improve the model's accuracy and generalization to unseen data. Once trained, the model can be deployed for tasks such as classification, regression, or other applications in various fields like healthcare, finance, and natural language processing.