Free Lesson: Turn Eval Results Into a Better AI Model
xeophon · x · 2026-07-31
Hamel Husain, Will Brown, and others hosted a free online lesson focusing on AI evaluations (Evals) and model customization.
The core of the lesson explores how to close the loop by turning system evaluation results into model improvements. Key topics include:
- Build the right environment: Transforming your system into an environment for evaluating and training models.
- Know when to own a model: Deciding when customizing and training your own model beats renting a closed one.
- Close the loop with RL: Using reinforcement learning so the model iteratively improves at real tasks.
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