How Numbers Station Combines LLM, RAG, and Domain Knowledge for AI-Driven Data Analysis

Explore the innovative approach of Numbers Station in combining Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and domain knowledge for AI-driven data analysis in this 19-minute webinar excerpt from Snorkel AI. Learn how to leverage AI to extract valuable insights from your data by combining structured and unstructured information for a comprehensive view. Discover the power of multi-agent systems for tackling complex data analysis tasks and gain insights into building AI-powered data assistants capable of answering questions and providing actionable insights. Delve into the future of data analysis and uncover techniques to unlock the full potential of your data. For a more in-depth exploration, access the complete webinar through the provided link and explore additional GenAI project videos in the curated playlist.

How Numbers Station Combines LLM, RAG, and Domain Knowledge for AI-Driven Data Analysis