PATE (Private Aggregation of Teacher Ensembles)

Private Adaptations of Large Language Models

Private adaptations of open-source Large Language Models (LLMs) offer superior privacy, performance, and cost-effectiveness compared to adapting closed-source LLMs, especially for sensitive data.