Continual Meta-Learning is a method where computer programs learn to constantly handle new tasks without forgetting what they have previously learned.
Imagine learning something new every day, but not forgetting what you learned before – Continual Meta-Learning works in a similar way.
The programs are trained to quickly respond to new situations while preserving their knowledge from the past.
This helps computers to keep improving, even when tasks or environments are constantly changing.