Merge pull request #92653 from Blackmist/random-stuff

adding links

Author: PRMerger20

articles/machine-learning/service/concept-azure-machine-learning-architecture.md

@@ -146,8 +146,9 @@ For an example of using an experiment, see [Tutorial: Train your first model](tu
 
 ### GitHub tracking and integration
 
-When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. For example, the current commit ID for the repository is logged as part of the history. This works with runs submitted using an estimator, ML pipeline, or script run. It also works for runs submitted from the SDK or Machine Learning CLI.
+When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. This works with runs submitted using an estimator, ML pipeline, or script run. It also works for runs submitted from the SDK or Machine Learning CLI.
 
+For more information, see [Git integration for Azure Machine Learning](concept-train-model-git-integration.md).
 
 ### Logging
 

articles/machine-learning/service/concept-train-model-git-integration.md

@@ -1,7 +1,7 @@
 ---
 title: Git integration for Azure Machine Learning
 titleSuffix: Azure Machine Learning
-description: Learn how Azure Machine Learning integrates with a local Git repository.
+description: Learn how Azure Machine Learning integrates with a local Git repository. When submitting a training run from a local directory that is a Git repository, information about repo, branch, and current commit are tracked as part of the run.
 services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
@@ -86,5 +86,4 @@ For more information, see the [az ml run](https://docs.microsoft.com/cli/azure/e
 
 ## Next steps
 
-* For a walkthrough of how to train with Azure Machine Learning in Visual Studio Code, see [Tutorial: Train models with Azure Machine Learning](tutorial-train-models-with-aml.md).
-* For a walkthrough of how to edit, run, and debug code locally, see the [Python hello-world tutorial](https://code.visualstudio.com/docs/Python/Python-tutorial).
+* [Set up and use compute targets for model training](how-to-set-up-training-targets.md)

articles/machine-learning/service/how-to-create-your-first-pipeline.md

@@ -350,7 +350,7 @@ For more information, see the [Experiment class](https://docs.microsoft.com/pyth
 
 ## GitHub tracking and integration
 
-When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. For example, the current commit ID for the repository is logged as part of the history.
+When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. For more information, see [Git integration for Azure Machine Learning](concept-train-model-git-integration.md).
 
 ## Publish a pipeline
 

articles/machine-learning/service/how-to-set-up-training-targets.md

@@ -495,7 +495,7 @@ For more details on these ```az ml``` CLI commands and full set of arguments, se
 
 ## Git tracking and integration
 
-When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. For example, the current commit ID for the repository is logged as part of the history.
+When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. For more information, see [Git integration for Azure Machine Learning](concept-train-model-git-integration.md).
 
 ## Notebook examples
 

articles/machine-learning/service/how-to-train-ml-models.md

@@ -122,7 +122,7 @@ print(run.get_portal_url())
 
 ## GitHub tracking and integration
 
-When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. For example, the current commit ID for the repository is logged as part of the history.
+When you start a training run where the source directory is a local Git repository, information about the repository is stored in the run history. For more information, see [Git integration for Azure Machine Learning](concept-train-model-git-integration.md).
 
 ## Examples
 For a notebook that shows the basics of an estimator pattern, see: