The art and science of hyperparameter optimization on Amazon Nova Forge
AWS details hyperparameter tuning practices for customizing frontier models on Amazon Nova Forge.
“If any of them are wrong, you trade one problem for another.”
An AWS engineering blog post explains how to tune learning rate, data mixing, and checkpoint selection when customizing Amazon Nova Forge models, emphasizing how to avoid catastrophic forgetting and wasted compute. It's a practical how-to guide rather than a major industry announcement, useful mainly to practitioners building custom models on AWS.