Catastrophic forgetting

Catastrophic forgetting is the tendency of a neural network to lose previously learned knowledge or skills when it is trained on new data or a new task.

Catastrophic forgetting sits in the Foundations part of the Agentik {OS} glossary, which defines the words used to build and run AI agent systems.

Also called Catastrophic interference.