Revolutionizing Data Analysis: Combining LLM, RAG, and Domain Knowledge

Explore the cutting-edge intersection of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and domain knowledge in this 51-minute webinar from Snorkel AI. Learn how to revolutionize data analysis by combining structured and unstructured data with RAG pipelines, generate actionable insights backed by domain expertise, and empower data-driven decision-making without relying on SQL. Dive into the future of AI-powered data analysis, covering topics such as trends in AI data development, agentic RAG, and a technical deep dive into Numbers Station. Witness a live demo showcasing the practical applications of these technologies, and participate in a Q&A session to address specific queries about implementing these advanced data analysis techniques in your organization.

Introductions
Trends in AI data development
AI data development
Unstructured + structured data example
Agentic RAG
Introducing Numbers Station
Numbers Station Technical Deep Dive
Numbers Station Demo
Q&A