Artifact

About #

An artifact is a file or object that is produced by a build process and is used as part of the deployment process. In the context of machine learning, an artifact can be a model file, a configuration file, or any other file that is needed to run a model in production.

Artifacts are typically versioned and stored in a registry, such as an object storage service or a version control system. When deploying a model, the artifacts are retrieved from the registry and used to create a deployment.