Vectorizing Your Databases with Steve Pousty
Fork Around And Find Out
Deep vs. Wide Networks and Model Limitations
The chapter explores the differences between deep and wide neural networks, emphasizing how deep networks handle complex data relationships. It also discusses the challenges of training AI models on biased data, as well as the implications of data transparency in the context of the open-source AI community.
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.
