PromptRiskDBThreat intelligence atlas
AI Risk

Fine-tuning related (Catastrophic forgetting due to continual instruction fine-tuning)

"Catastrophic forgetting occurs when a model loses its ability to retain previously learned tasks (or factual information) after being trained on new ones. In language models, this can occur due to continual instruction tuning. This tendency may become more pronounced as the model’s size increases [127]."

AI Risk7. AI System Safety, Failures, & Limitations7.3 > Lack of capability or robustness2 - Post-deployment

Record summary

A quick snapshot of what this page covers.

Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain7. AI System Safety, Failures, & LimitationsThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain7. AI System Safety, Failures, & Limitations
Subdomain7.3 > Lack of capability or robustness
Entity3 - Other
Intent2 - Unintentional
Timing2 - Post-deployment
CategoryModel Development
SubcategoryFine-tuning related (Catastrophic forgetting due to continual instruction fine-tuning)

Suggested mitigations

Defenses that may help with related attacks.

No propagated mitigations. No defense is available through the connected attack methods.

Source

Research source for this risk, when available.