In this talk, we explore advanced techniques to ensure Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) applications produce responsible and accurate outputs. We'll delve into methods for minimizing hallucinations and maintaining fidelity to factual data. The session will feature a comparative analysis of approaches from leading cloud and tech vendors, including Microsoft, AWS, Elastic, and NVIDIA.
Attendees will gain insights into best practices for developing reliable AI applications, enhancing user trust, and leveraging the strengths of each vendor's solutions in real-world scenarios. Join us to elevate your AI implementation and learn from real life experience.