44Your large-model pretraining hits sudden loss spikes that don't recover. How do you stabilize it?▼hardOpenAIMetaGoogle2 replies◆ premiumAt billion-parameter scale, training can be running smoothly and then the loss jumps and never returns, burning a fortune in compute. The causes and the playbook are familiar to the few who've done it. Here it is.Open full answer →
65Your differentially private model lost most of its accuracy. How do you buy the utility back?▼hardAppleGoogleMicrosoft◆ premiumPicking epsilon is the easy half. The hard half is the accuracy you just gave up, and the levers that get it back are not the ones most candidates reach for.Open full answer →
