The intersection of LLM and privacy-preserving techniques is an emerging research field, particularly relevant for domain-specific applications.  There is increasing interest in methodologies that enable collaborative or multi-tenant training and inference while addressing both trust and efficiency concerns.  In this talk, I will give a high-level tutorial on several cryptographic techniques that may help the audience better understand the state-of-the-art research in the area of secure AI inference.