AI training data is the single biggest reason a model works or quietly falls apart, and this tutorial explains where datasets come from, what a label really is, how bias sneaks in, and why the train/validation/test split is the habit that keeps you honest. If you remember one thing from the whole AI Foundations chapter, make it this: the data you feed a model matters more than the model itself. “Real stupidity beats artificial intelligence every time.” Terry Pratchett, Hogfather ... Read More