End-to-end stack for building custom LLMs

In this webinar, we’ll walk through a modern stack for developing domain-specific LLMs using the latest post-training techniques, including custom reward functions, as popularized by Deepseek.
These cutting-edge methods are now within reach for any company, thanks to cost-efficient infrastructure from Nebius and a user-friendly software stack powered by Metaflow.
We’ll also showcase how the new Nebius — Outerbounds integration streamlines the end-to-end workflow for real-world production environments

What you will know?

• An introduction to sophisticated post-training, leading to reasoning models
• Developing such custom LLMs in a production-grade environment
• The components of an end-to-end stack for custom LLMs — what are they and why they matter

For who?
ML/AI engineers, Data Scientists, Research engineers, Platform engineers