Overview
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Explore a 23-minute conference talk that delves into the challenges and solutions of leveraging Large Language Models (LLMs) for unstructured data analysis while maintaining privacy and security. Learn how Skyflow developed an LLM-based application to generate marketing materials and documentation using Databricks, Streamlit, and a data privacy vault. Discover strategies for overcoming privacy challenges, ensuring responsible data use, and governing access to sensitive information while harnessing the power of LLMs. Gain insights from Manny Silva, Head of Documentation, and Sean Falconer, Head of Marketing & Developer Relations at Skyflow, as they share their experience in creating a privacy-safe RAG model to scale marketing, technical documentation, and product teams.
Syllabus
Scaling Marketing and Docs with a Privacy-Safe RAG Model
Taught by
Databricks