Self-Play Changed How I Think About Training Systems (And It Should Change How You Build Yours)
Last year, I was stuck. I'd built a recommendation system for a client that hit a plateau around 73% accuracy, and no amount of tweaking the supervised learning pipeline seemed to break through. We had the best dataset money could buy, hired contractors to label edge cases, and i...