The episode "Meet the Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases" discusses a new method for extracting sensitive information from large language models (LLMs).

This technique, called RAG (Retrieval Augmented Generation), is being used to exploit vulnerabilities in LLMs. The researchers demonstrate how this approach can successfully retrieve hidden knowledge bases from these models.

Their findings highlight security risks associated with LLMs and the need for improved protective measures. The study focuses on the adaptive nature of the attack, making it particularly effective.

This research emphasizes the potential dangers of insufficient security protocols in LLM implementation.