Efficient Differentially Private Fine-Tuning of LLMs via Reinforcement Learning

Afshin Khadangi, Amir Sartipi, Igor Tchappi +2

The tension between data privacy and model utility has become the defining bottleneck for the practical deployment of large language models (LLMs) trained on sensitive corpora incl…