The Data Exchange with Ben Lorica cover image

The Data-Centric Shift in AI: Challenges, Opportunities, and Tools

The Data Exchange with Ben Lorica

00:00

Understanding Post-Training in AI: The Importance of Quality Data

This chapter delves into the critical role of data in the post-training phase of AI models, debunking the myth that less data is needed. It also discusses optimizing platforms for post-training and the trend of companies choosing to fine-tune smaller models instead of developing new ones from the ground up.

Transcript
Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner
Get the app