The Mathematics of Training LLMs — with Quentin Anthony of Eleuther AI
Invites are going out for AI Engineer Summit! In the meantime, we have just announced our first Actually Open AI event with Brev.dev and Langchain, Aug 26 in our SF HQ (we’ll record talks for those remote). See you soon (and join the Discord)! Special thanks to @nearcyan for helping us arrange this with the Eleuther…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Latent Space: The AI Engineer Podcast
See all episodes →
64%🔬Scaling Past Informal AI - Carina Hong, Axiom Math
60%Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora
57%Why Agents Love Supabase
Similar episodes from other shows
More like Latent Space: The AI Engineer Podcast →
Reiner Pope – The math behind how LLMs are trained and served
Anthropic Head of Pretraining on Scaling Laws, Compute, and the Future of AI
29%86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic
OpenAI's New Deal
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.