Is there a notable increase in demand for privacy-preserving AI/ML with the advent of LLMs? [D]
Trusted execution environments (TEEs) now power enterprise-grade private LLM deployments...
Deep Dive
A Reddit user reflected on how, six years after a discussion about AI demand amid privacy regulation, AI demand remains strong, but the rise of LLMs and research on de-anonymizing users has driven growing calls for privacy. The user added that many of their friends use trusted execution environments to offer enterprise customers privacy-preserving versions of popular LLM models, and asked the community about both AI demand and the demand for privacy-preserving AI solutions.
Key Points
- Demand for privacy-preserving AI is surging alongside LLM adoption, driven by regulations and de-anonymization research
- Trusted execution environments (TEEs) are emerging as a key technology for running LLMs on encrypted data
- Enterprise customers in regulated industries are pushing for private, on-premise versions of models like GPT-4
Why It Matters
Privacy-focused AI solutions will determine whether enterprises fully adopt LLMs without compromising sensitive data.