Generative AI and Proprietary Data: Ensuring Security in Enterprise AI Adoption
Offered By: Anyscale via YouTube
Course Description
Overview
Explore a groundbreaking solution to enterprise AI adoption challenges in this Ray Summit 2024 conference talk. Delve into Raluca Ada Popa's presentation on securing proprietary and private data when used with generative AI. Learn about a novel confidential computing approach that keeps sensitive data encrypted throughout the entire AI workflow, addressing concerns that have led major companies to restrict ChatGPT use. Discover how this cutting-edge technology, based on research from UC Berkeley, enables companies to leverage LLMs while maintaining data confidentiality and prediction quality. Gain insights into the potential for a new era of secure, AI-driven enterprise productivity through this innovative approach to data security in generative AI applications.
Syllabus
Generative AI + Proprietary Data | Ray Summit 2024
Taught by
Anyscale
Related Courses
Internet History, Technology, and SecurityUniversity of Michigan via Coursera Sicherheit im Internet
openHPI أساسيات التشفير
Rwaq (رواق) Desarrollo de Aplicaciones Web: Seguridad
University of New Mexico via Coursera Web Application Development: Security
University of New Mexico via Coursera