Free Lesson
Turn Eval Results Into a Better Model
Part of AI Product Engineering
45 min
Jul 31, 2026 1:00 PM
Virtual (Zoom)
In this video
What you'll learn
Build the right environment
Turn your system into an environment to evaluate and train models in
Know when to own a model
Decide when owning and training a model beats renting a closed one.
Close the loop with RL
Use reinforcement learning so the model gets better at your real tasks each round.
Why this topic matters
Environments are the foundation for evaluating and training models and agentic systems. They define the tasks, provide the context and tools, and determine how success is measured. Florian and Will from Prime Intellect will show you how to build effective environments, avoid common pitfalls, and use them to evaluate and train stronger models.
You'll learn from
Will Brown
Research Lead at Prime Intellect
Florian Brand
Research Engineer at Prime Intellect
Hamel Husain
ML Engineer with 20+ years of experience