Maximilian discusses the potential privacy threats posed by fine-tuning language models on sensitive data. Current approaches involve reinforcement learning and prompt tuning to mitigate the risk of exposing private information. No guarantees exist, highlighting the ongoing challenge in protecting user privacy in large language models.
