From Experiment to Production

Great models die in notebooks. Production is a system: experiments you can replay, models you can register and promote, features/embeddings you can serve consistently, and lineage that explains “which data/code created this output.” This chapter turns those into Python patterns with W&B/MLflow, model registries, lineage, and feature/embedding stores.