Making AI models forget undesirable data hurts their performance

Summary

• Unlearning techniques are used to make AI models forget specific undesirable information picked up during training.
• Current unlearning techniques can make models like GPT-4o or Llama 3.1 405B less capable of answering basic questions.
• Research shows that popular unlearning techniques degrade models, making them unusable in some cases.
• There is a need for additional research to develop more effective unlearning methods.

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