Task-specific training

Task-specific training involves teaching a machine learning model to perform a particular job by providing it with relevant data and examples focused on that task. Instead of general knowledge, the model learns patterns directly related to the specific problem, such as recognizing images of cats or translating languages. This targeted approach helps the model become more accurate and efficient at that particular task, as it fine-tunes its understanding based on the data it receives during training. Essentially, it’s like customizing training for a specific skill or job to ensure optimal performance.