How AI describes PrivacyMind

PrivacyMind is a framework for fine-tuning large language models to incorporate domain-specific knowledge while protecting personally identifiable information during inference. It combines techniques like instruction tuning with positive and negative examples, penalty-based loss, and corpus curation to balance privacy protection with model performance.