Questions
Common questions.
What is Catastrophic Forgetting?
Catastrophic forgetting is when a neural network loses previously learned knowledge after being trained on new data.
How does Catastrophic Forgetting work?
For agents, this means fine-tuning or updates can degrade performance on earlier tasks, requiring regression testing and governance review.
Which terms are related to Catastrophic Forgetting?
Closely related concepts include Regression Detection (Agent), Fine-Tuning, Regression Testing (Agent), Automated Evaluation. Each is defined in the Prefactor glossary.
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