Meta-learning means that a computer learns how to learn.
Imagine that you don't just learn one thing, but get a method to understand new things faster.
This helps computers adapt better to new tasks, even if they only get few examples.
Meta-learning is especially useful when you need to react quickly to new situations without having much time for learning.
This way, machines can become more flexible and intelligent.