Why LLM evaluations are crucial
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: https://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
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