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.openpublishing.publish.config.json

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"build_source_folder": "docs",
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"build_output_subfolder": "vsdocsdocs",
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"locale": "en-us",
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"xref_query_tags": ["/dotnet"],
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"monikers": [],
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"open_to_public_contributors": true,
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"type_mapping": {

.openpublishing.redirection.json

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"redirect_url": "https://vspartner.com/pages/vsshells",
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"redirect_document_id": false
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{
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{
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"source_path": "docs/extensibility/shell/distributing-isolated-shell-applications.md",
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"redirect_url": "/visualstudio/ide/reference/call-hierarchy",
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{
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"source_path": "docs/ide/reference/installvstemplates-devenv-exe.md",
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"redirect_url": "/visualstudio/ide/reference/devenv-command-line-switches",
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"redirect_document_id": false
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"source_path": "docs/ide/reference/resetaddin-devenv-exe.md",
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"redirect_url": "/visualstudio/ide/reference/devenv-command-line-switches",
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"redirect_document_id": false
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"source_path": "docs/ide/reference/updateconfiguration-devenv-exe.md",
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"redirect_url": "/visualstudio/ide/reference/devenv-command-line-switches",
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"redirect_document_id": false
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},
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"source_path": "docs/ide/reference/visual-studio-for-applications-reference.md",
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"redirect_url": "/visualstudio/test/unit-test-your-code",
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"source_path": "docs/test/lab-management/upgrade-scvmm-2008-r2-scvmm-2012.md",
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"redirect_url": "/visualstudio/test/lab-management/using-a-lab-environment-for-your-application-lifecycle",
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"source_path": "docs/test/using-microsoft-visualstudio-testtools-cppunittestframework.md",
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"redirect_url": "/visualstudio/test/writing-unit-tests-for-c-cpp",
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"source_path": "docs/test/writing-unit-tests-for-the-dotnet-framework-with-the-microsoft-unit-test-framework-for-managed-code.md",
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"redirect_url": "/visualstudio/test/unit-test-your-code",
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"redirect_document_id": false
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"source_path": "docs/vb-ide/code-generation-vb.md",
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"source_path": "docs/install/install-visual-studio-behind-a-firewall-or-proxy-server.md",
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"redirect_url": "/visualstudio/install/install-and-use-visual-studio-behind-a-firewall-or-proxy-server",
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"source_path": "docs/ide/quickstart-visual-basic-winforms.md",
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"redirect_url": "/visualstudio/ide/create-a-visual-basic-winform-in-visual-studio",
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docs/TOC.md

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#### [Control updates to Visual Studio deployments](install/controlling-updates-to-visual-studio-deployments.md)
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### Manage installations
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#### [Tools for detecting and managing Visual Studio instances](install/tools-for-managing-visual-studio-instances.md)
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### Manage subscriptions
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#### [Visual Studio subscriptions: Administrator overview](/visualstudio/subscriptions/admin-responsibilities)
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### [Help Viewer Administrator Guide](ide/help-viewer-administrator-guide.md)
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#### [Command-Line Arguments for the Help Content Manager](ide/command-line-arguments-for-the-help-content-manager.md)
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#### [Help Content Manager Overrides](ide/help-content-manager-overrides.md)
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# Quickstarts
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## [Visual Studio Orientation](ide/quickstart-ide-orientation.md)
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## [Projects and Solutions](ide/quickstart-projects-solutions.md)
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## [Write Code in the Editor](ide/quickstart-editor.md)
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## [Use the Editor](ide/quickstart-editor.md)
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## [Personalize Theme and Text Colors](ide/quickstart-personalize-the-ide.md)
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## [C++: Create a Console App](ide/getting-started-with-cpp-in-visual-studio.md)
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## [Python: Create a Web App](ide/quickstart-python.md)
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##### [Substitute Parameters in a Template](ide/how-to-substitute-parameters-in-a-template.md)
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#### [Visual Studio IDE 64-Bit Support](ide/visual-studio-ide-64-bit-support.md)
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### [Develop without Projects or Solutions ("Open Folder")](ide/develop-code-in-visual-studio-without-projects-or-solutions.md)
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### [Write Code in the Editor](ide/writing-code-in-the-code-and-text-editor.md)
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#### [Customize Build and Debug Tasks](ide/customize-build-and-debug-tasks-in-visual-studio.md)
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### [Use the Editor](ide/writing-code-in-the-code-and-text-editor.md)
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#### [Find and Replace Text](ide/finding-and-replacing-text.md)
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##### [Use Regular Expressions](ide/using-regular-expressions-in-visual-studio.md)
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##### [Find-Command Box](ide/find-command-box.md)
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###### [Filtered Completion Lists in Visual Basic](ide/filtered-completion-lists-in-visual-basic.md)
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##### [C# IntelliSense](ide/visual-csharp-intellisense.md)
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##### [JavaScript IntelliSense](ide/javascript-intellisense.md)
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##### [Visual C++ Intellisense](ide/visual-cpp-intellisense.md)
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##### [Visual C++ IntelliSense](ide/visual-cpp-intellisense.md)
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#### [Navigate Your Code](ide/navigating-code.md)
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### [-Project (devenv.exe)](ide/reference/project-devenv-exe.md)
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### [-ProjectConfig (devenv.exe)](ide/reference/projectconfig-devenv-exe.md)
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### [-Rebuild (devenv.exe)](ide/reference/rebuild-devenv-exe.md)
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### [-ResetAddin (devenv.exe)](ide/reference/resetaddin-devenv-exe.md)
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### [-InstallVSTemplates (devenv.exe)](ide/reference/installvstemplates-devenv-exe.md)
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### [-ResetSettings (devenv.exe)](ide/reference/resetsettings-devenv-exe.md)
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### [-ResetSkipPkgs (devenv.exe)](ide/reference/resetskippkgs-devenv-exe.md)
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### [-Run (devenv.exe)](ide/reference/run-devenv-exe.md)
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### [-Runexit (devenv.exe)](ide/reference/runexit-devenv-exe.md)
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### [-SafeMode (devenv.exe)](ide/reference/safemode-devenv-exe.md)
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### [-Setup (devenv.exe)](ide/reference/setup-devenv-exe.md)
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### [-Updateconfiguration (devenv.exe)](ide/reference/updateconfiguration-devenv-exe.md)
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### [-Upgrade (devenv.exe)](ide/reference/upgrade-devenv-exe.md)
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### [-UseEnv (devenv.exe)](ide/reference/useenv-devenv-exe.md)
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## [Visual Studio Commands](ide/reference/visual-studio-commands.md)

docs/ai/about-ai-tools.md

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# Visual Studio Tools for AI
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Visual Studio Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.
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Get started with deep learning using [Microsoft Cognitive Toolkit (CNTK)](http://www.microsoft.com/en-us/cognitive-toolkit), [Google TensorFlow](https://www.tensorflow.org), or other deep-learning frameworks today.
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## Develop, debug and deploy deep learning models and AI solutions
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Use the productivity features of Visual Studio to accelerate AI innovation today. Use built-in code editor features like syntax highlighting, IntelliSense and text auto formatting. You can interactively test your deep learning application in your local environment using step-through debugging on local variables and models.
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Get started with deep learning using [Microsoft Cognitive Toolkit (CNTK)](http://www.microsoft.com/en-us/cognitive-toolkit), [Google TensorFlow](https://www.tensorflow.org), or other deep-learning frameworks today.
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## Develop, debug and deploy deep learning models and AI solutions
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Use the productivity features of Visual Studio to accelerate AI innovation today. Use built-in code editor features like syntax highlighting, IntelliSense and text auto formatting. You can interactively test your deep learning application in your local environment using step-through debugging on local variables and models.
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![deep learning ide](media\about\ide.png)
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## Get started quickly with the Azure Machine Learning Sample Gallery
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Visual Studio Tools for AI is integrated with Azure Machine Learning to make it easy to browse through a gallery of sample experiments using CNTK, TensorFlow, MMLSpark and more.
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## Get started quickly with the Azure Machine Learning Sample Gallery
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Visual Studio Tools for AI is integrated with Azure Machine Learning to make it easy to browse through a gallery of sample experiments using CNTK, TensorFlow, MMLSpark and more.
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![sample explorer](media\about\gallery.png)
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This extension makes it easy to train models on your local computer or you can submit jobs to the cloud by using our integration with Azure Machine Learning. You can submit jobs to different compute targets like Spark clusters, Azure GPU virtual machines and more
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This extension makes it easy to train models on your local computer or you can submit jobs to the cloud by using our integration with Azure Machine Learning. You can submit jobs to different compute targets like Spark clusters, Azure GPU virtual machines and more
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![submit job](media\about\submitjobs.png)
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[Learn more about training models in the cloud](tensorflow-vm.md)
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[Learn more about training models in the cloud](tensorflow-vm.md)
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docs/ai/create-project-existing.md

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# Create an AI project from existing code
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docs/ai/create-project-gallery.md

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Azure Machine Learning is integrated with Visual Studio Tools for AI. You can use it to submit machine learning jobs to remote compute targets like Azure virtual machines, Spark clusters, and more. Learn more about [Azure Machine Learning Experimentation](https://docs.microsoft.com/azure/machine-learning/preview/experimentation-service-configuration)
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Azure Machine Learning is integrated with Visual Studio Tools for AI. You can use it to submit machine learning jobs to remote compute targets like Azure virtual machines, Spark clusters, and more. Learn more about [Azure Machine Learning Experimentation](https://docs.microsoft.com/azure/machine-learning/preview/experimentation-service-configuration)
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> [!NOTE]
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> [!NOTE]
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> Azure Machine Learning Workbench must be installed. To install it please see the [Azure Machine Learning installation quickstart](https://docs.microsoft.com/azure/machine-learning/preview/quickstart-installation)
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1. Launch Visual Studio. Open the **Server Explorer** by opening the **AI Tools** menu and choosing **Select Cluster**
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![Cluster chooser](media\create-project-gallery\select-cluster.png)
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![login](media\create-project-gallery\azureml-login.png)
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- **Add to Solution**: determines whether to add to your current Visual Studio Solution or a create and open a new solution
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![Resulting project when using the Python Application template](media/create-project-gallery/new-AzureSampleProject.png)
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![mnist](media\create-project-gallery\submit-azml.png)
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docs/ai/create-project-repo.md

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# Clone a repository of Python code in Visual Studio
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docs/ai/create-project.md

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1. Select **File > New > Project** (Ctrl+Shift+N). In the **New Project** dialog, search for "**AI Tools**", and select the template you want. Note that selecting a template displays a short description of what the template provides.
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![VS2017 New Project dialog with Python template](media\create-project\new-ai-project.png)
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1. For this Quickstart, select the "**TensorFlow Application**" template, give the project a name (such as "MNIST") and location, and select **OK**.
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![Resulting project when using the Python Application template](media\create-project\new-tensorflowapp.png)
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1. Notice the code already imports several libraries including TensorFlow, numpy, sys and os. Additionally it starts your application ready with some input arguments to easily enable switching the location of input training data, output models and log files. These params are useful when you submit your jobs to multiple compute contexts (ie different directory on your local dev box than on an Azure File Share).
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1. Notice the code already imports several libraries including TensorFlow, numpy, sys and os. Additionally it starts your application ready with some input arguments to easily enable switching the location of input training data, output models and log files. These params are useful when you submit your jobs to multiple compute contexts (ie different directory on your local dev box than on an Azure File Share).
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1. Your project also has some properties created to make it easy to debug your app by automatically passing commandline arguments to these input parameters. **Right click** your project then select **Properties**
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![Properties](media\create-project\project-properties.png)
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docs/ai/installation.md

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This extension works with [Visual Studio](https://docs.microsoft.com/visualstudio/) 2015, 2017, Community edition or higher.
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To install, download from the [Visual Studio MarketPlace](http://aka.ms/vstoolsforai) or from within Visual Studio
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![install CUDA on Windows](media\installation\extensions.png)
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docs/ai/job-details.md

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docs/ai/manage-storage.md

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3. Click **Working Folder** or click StdOut / Stderr for quick access to these important log files
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![storage](media\manage-storage\job-workingfolder.png)

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