Incremental vs. Exponential - with Nicholas Thompson and Andrew Ng
The Most Interesting Thing in A.I.
Exploring the Future of Decentralized Training in AI
This chapter explores the concept of federated learning, where multiple parties can train AI models collaboratively while keeping their data private. It also addresses the challenges inherent in decentralized training, especially for large-scale AI models that usually depend on centralized systems.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
