Artifacts make it easy to get a complete and auditable history of changes to your files by enabling dataset versioning, model versioning, and the tracking of dependencies and results across machine learning pipelines. Store entire datasets directly in Artifacts, or use Artifact references to point to data in other systems like S3, GCP, or your own bucket