Metadata Management
Machine Learning
A learning paradigm where AI systems learn how to learn more efficiently from experience.
Detailed Explanation
Meta-learning, or "learning to learn," is a machine learning approach where AI systems improve their ability to learn new tasks by leveraging prior experience. It enables models to quickly adapt to unfamiliar problems with minimal training data, enhancing efficiency, flexibility, and speed in diverse applications like robotics, natural language processing, and personalized recommendations.
Use Cases
- •Meta-learning enables quick adaptation to new tasks with minimal data, ideal for personalized assistants, robotics, and rapid deployment in changing environments.
Related Terms
Other terms in the Machine Learning category