Oct7Wed
Virtual
The Layman's Guide to AI (Part 3) - How Machines Learn: Practice, Mistakes, and Other People's Work
Last time, we saw the field stop writing rules by hand and start learning from examples. This session is about what "learning" actually means for a machine. You show it millions of examples, it measures how wrong it was, it adjusts, and it does that again and again. We'll look at what training data is, where it came from, and why that question matters to artists, writers, and anyone who has ever posted anything online. It's free, it's open to everyone, and no technical background is needed.