Uploaded August 2025 | Updated September 2026, 2 hours ago

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If you’re not measuring, you’re guessing. Here’s why LLM evaluations are the highest-ROI move 👇

- Most failures come from bad specs, no real data, or models misapplying rules

- Fix it with custom evaluations: JSON checks, tool errors, schema constraints, LLM-as-judge

- Build a dataset, analyze real traces, and turn it into an "Analyze → Measure → Improve" loop

- Best resource I’ve found: Hamel Husain & Shreya Shankar’s course

👉 Grab my 35% discount link here: maven.com/parlance-labs/evals?promoCode=whatsai-louis

This video is sponsored, but this is genuinely the best course for evals out there.

I’m Louis-François — PhD dropout, now CTO & co-founder at Towards AI. Follow me for tomorrow’s no-BS AI roundup 🚀

#ai #llm #evaluations #short