Every company grapples with mountains of unstructured data. Traditional analysis of this data is challenging, but the advent of LLMs promises to unlock its value. However, LLMs are designed to learn but not to unlearn, which poses privacy risks if sensitive information such as PII or core IP is used to train them. This session with Skyflow will show you how to tackle this conundrum, drawing on the company’s experience developing an LLM-based application that helps generate press releases, blog posts, documentation, and product one-pagers. Discover how Skyflow leveraged Snowflake, Streamlit, a data privacy vault, and open source tools to create a privacy-safe RAG model for scaling its marketing, technical documentation, and product teams.
Subscribe for more! www.snowflake.com/YTsubscribe/
Explore sample code, download tools, and connect with peers: developers.snowflake.com/