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Forgotten prompts can be extracted from unlearned models with 100% accuracy using just a fraction of the queries required by traditional methods.
By reframing machine sensor data as a language, LoRM unlocks the power of pre-trained language models for real-time condition monitoring without relying on hand-engineered features.
