Unleashing the Potential of Unstructured Data with LLMs and Databricks

Explore a 26-minute presentation on leveraging unstructured data using Large Language Models (LLMs) and Databricks. Discover how the North Dakota University System (NDUS) implemented the Retrieval Augmented Generation (RAG) architecture to extract valuable insights from complex and diverse data sources. Learn about the creation of an AI portal for NDUS staff, faculty, and students, and understand the benefits and challenges of utilizing RAG architecture and Azure Databricks for unstructured data analytics and generation. Gain insights from Cordell Wagendorf, Cloud Solution Architect, and Ryan Jockers, Assistant Director of Reporting and Analytics at NDUS. Access additional resources such as the LLM Compact Guide and Big Book of MLOps to further enhance your knowledge in this field.