Meta Learning

Meta learning, often called "learning to learn," is a method where a system improves its ability to learn new tasks by analyzing previous experiences. Instead of being programmed for specific tasks, it develops adaptability, quickly understanding new challenges with minimal data. Think of it like a student who learns effective strategies from past exams to quickly grasp new subjects. This approach is useful in AI for creating models that can efficiently tackle a variety of new problems, adjusting their methods based on prior knowledge to learn faster and more effectively.