701: Generative A.I. without the Privacy Risks (with Prof. Raluca Ada Popa)
Super Data Science: ML & AI Podcast with Jon Krohn
Safeguarding Sensitive Data with Confidential Computing
The chapter delves into the challenges of using open source models, emphasizing the importance of confidential computing for protecting sensitive data in cloud deployments. It explores the development of Opaque as a solution to remove personally identifiable information from queries sent to generative AI models like GPT-4, ensuring privacy and data confidentiality.
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