Machine Learning & Training

What Is Meta-Learning?

Meta-learning, often called learning to learn, focuses on building models that can adapt quickly to new tasks using prior experience. Instead of learning a single task, the model learns strategies that generalize across many tasks. This is closely related to few-shot learning, where only a small amount of data is available for each new task.