Course 1: Model Selection and Evalsfeatured
Most AI product teams make the same expensive mistake: they choose models from benchmark tables and ship without a serious eval set. This course gives you the operating discipline to pick the right model for a real feature, defend the unit economics, and know when the system is getting better or worse.
Lessons
01Why Model Performance Is Not Product Value7 min02The Model-Selection Ladder: Choose the Smallest Model That Clears the Bar7 min03The Cost Gap Between Rungs -- and Why Frontier Defaults Kill Unit Economics7 min04Building the Golden Eval Set -- Twelve Sharp Examples Beat Ten Thousand Fuzzy Ones7 min05Eval as Regression Suite -- Gate Every Prompt and Index Change7 min06Reading the 2026 Model Landscape6 min07Vendor Lock-In, Fallback Chains, and Reversible Bets7 min08Capstone -- Write the Model-Selection Memo and the Eval Doc for a Real Feature7 min