Joint Training

Joint training is a method where multiple related systems or models learn together simultaneously, sharing information during their training process. Instead of training each model separately, they are trained as a group to improve their overall performance and ensure they work well together. This approach helps these models learn complementary features, coordinate more effectively, and often leads to better results than training them individually. It’s commonly used in complex tasks like multi-modal understanding, where different data types (like images and text) need to be processed cohesively.