diff --git a/colabs/artifact_basics/Artifact_Basics.ipynb b/colabs/artifact_basics/Artifact_Basics.ipynb index 0abd234c..6704cdd0 100644 --- a/colabs/artifact_basics/Artifact_Basics.ipynb +++ b/colabs/artifact_basics/Artifact_Basics.ipynb @@ -234,7 +234,7 @@ "id": "AyANijPlIN5m" }, "source": [ - "# Update an Artifact" + "# Update Artifact version metadata" ] }, { @@ -243,7 +243,7 @@ "id": "e4psfYzGeAVS" }, "source": [ - "You can pass new values to update the `description`, `metadata`, and `alias` of an artifact. Call the `save()` method to update the artifact on the W&B servers. You can update an artifact during or outside a W&B Run.\n", + "You can update the `description`, `metadata`, and `alias` of an artifact on the W&B platform during or outside a W&B Run.\n", "\n", "\n", "This example changes the `description` of the `my_first_artifact` artifact inside a run:" @@ -292,10 +292,10 @@ "source": [ "run = wandb.init(project=\"artifact-basics\")\n", "artifact = run.use_artifact(artifact_or_name=\"my_first_artifact:latest\")\n", - "# downloads the artifact to a local directory.\n", + "# This will download the specified artifact to where your code is running\n", "datadir = artifact.download()\n", "run.finish()\n", - "# prints the path of the current artifact directory\n", + "# Prints the path of the current artifact directory\n", "print(u'\\u2500' * 10)\n", "print(\"Data directory located at:\" + datadir)" ] @@ -333,9 +333,9 @@ "source": [ "# Next steps\n", "1. [Artifacts Python reference documentation](https://docs.wandb.ai/ref/python/artifact): Deep dive into artifact parameters and advanced methods.\n", - "2. [Lineage](https://docs.wandb.ai/guides/artifacts/explore-and-traverse-an-artifact-graph): View lineage graphs, which show artifacts logged by a run as well as artifacts used by specific run. \n", + "2. [Lineage](https://docs.wandb.ai/guides/artifacts/explore-and-traverse-an-artifact-graph): View lineage graphs, which are automatically built when using W&B artifact system, providing an auditable visual overview of the relationships between specific artifact versions, datasets models and runs.\n", "3. [Model Registry](https://docs.wandb.ai/guides/model_registry): Learn how to centralize your best artifact versions in a shared registry.\n", - "4. [Artifact Automations](https://docs.wandb.ai/guides/artifacts/project-scoped-automations): Automate downstream actions for versioning artifacts.\n", + "4. [Artifact Automations](https://docs.wandb.ai/guides/artifacts/project-scoped-automations): Automatically run specific Weights & Biases jobs based on changes to your artifacts, such as automatically training a new model each time a new version of the training data is logged.\n", "5. [Artifacts FAQ](https://docs.wandb.ai/guides/artifacts/artifacts-faqs): Frequently asked questions on Artifact security, workflows, and retention policy." ] }