Multitask Learning is a method that helps improve learning for one task by using information from other related tasks. By learning multiple tasks at the same time and sharing what is learned, it can make learning easier and more effective. The researchers showed that using multitask learning can lead to better results in various real-world problems. They found that sometimes using certain features as outputs instead of inputs can work better. Multitask learning can enhance generalization performance, be used in different domains, and with various learning methods. It is believed that there are many opportunities to apply multitask learning to solve practical problems.