Registry is a curated central repository that stores and provides versioning, aliases, lineage tracking, and governance of models and datasets. Check out this walkthrough to learn how to log artifacts and publish and share your ML models and datasets using Registry.
https://docs.wandb.ai/guides/registry
⏳Timestamps:
0:00 Registry Introduction
0:28 Definition of Registry
1:47 Logging a model in W&B
3:28 Managing artifacts and their metadata
5:13 Registry quick tour
7:00 Registry settings and access control
8:54 Creating a custom registry
9:38 Publishing a model to a custom registry
11:02 Publishing a dataset to the dataset registry