Data versioning, model artefact क्या है?

Data versioning identifies every dataset a run reads by an immutable snapshot (a content hash or a dated, frozen version), so that later corrections create new versions instead of changing old ones. A model artefact is the stored result of a training run, the fitted parameters in a portable form, identified by its content hash.