Instead of relying on the LLM itself to unlearn, we enforce an unlearned state during inference by employing a prompt classifier to identify and safeguard prompts to forget.

We employ a total of 26 annotators, consisting of 14 females and 12 males.

The acquisition of training data is crucial for machine learning applications.