task training

Task training involves teaching a machine learning model to perform a specific task by providing it with relevant examples and feedback. Through repeated exposure to input-output pairs, the model learns to recognize patterns and make accurate predictions or decisions for similar future situations. This process helps the system improve its performance on the particular task, such as recognizing images, translating languages, or recommending products. Essentially, task training customizes a model's abilities to address a specific problem effectively, enabling it to understand and perform the task reliably based on the training data it receives.