Merge branch 'main' of github.com:MicrosoftDocs/azure-ai-docs-pr into breadcrumbs

Author: Blackmist

articles/ai-services/openai/quotas-limits.md

@@ -45,6 +45,7 @@ The following sections provide you with a quick guide to the default quotas and
 | Maximum number of Provisioned throughput units per deployment | 100,000 |
 | Max files per Assistant/thread | 10,000 when using the API or AI Studio. 20 when using Azure OpenAI Studio.|
 | Max file size for Assistants & fine-tuning | 512 MB |
+| Max size for all uploaded files for Assistants |100 GB |  
 | Assistants token limit | 2,000,000 token limit |
 | GPT-4o max images per request (# of images in the messages array/conversation history) | 10 |
 | GPT-4 `vision-preview` & GPT-4 `turbo-2024-04-09` default max tokens | 16 <br><br> Increase the `max_tokens` parameter value to avoid truncated responses. GPT-4o max tokens defaults to 4096. |

articles/ai-studio/how-to/create-manage-compute.md

@@ -18,7 +18,7 @@ author: sdgilley
 
 [!INCLUDE [Feature preview](~/reusable-content/ce-skilling/azure/includes/ai-studio/includes/feature-preview.md)]
 
-In this article, you learn how to create a compute instance in Azure AI Studio. You can create a compute instance in the Azure AI Studio or in the Azure portal. 
+In this article, you learn how to create a compute instance in Azure AI Studio. You can create a compute instance in the Azure AI Studio.
 
 You need a compute instance to:
 - Use prompt flow in Azure AI Studio. 

articles/ai-studio/how-to/create-projects.md

@@ -117,8 +117,8 @@ In addition, a number of resources are only accessible by users in your project
 
    | Data connection | Storage location | Purpose |
    | --- | --- | --- |
-   | workspaceblobstore | {project-GUID}-blobstore | Default container for data upload |
-   | workspaceartifactstore | {project-GUID}-blobstore | Stores components and metadata for your project such as model weights |
+   | workspaceblobstore | {project-GUID}-azureml-blobstore | Default container for data upload |
+   | workspaceartifactstore | {project-GUID}-azureml | Stores components and metadata for your project such as model weights |
    | workspacefilestore | {project-GUID}-code | Hosts files created on your compute and using prompt flow |
 
 > [!NOTE]

articles/machine-learning/.openpublishing.redirection.machine-learning.json

@@ -3385,6 +3385,16 @@
         "redirect_url": "/azure/machine-learning/migrate-overview",
         "redirect_document_id": true
     },
+    {
+        "source_path_from_root": "/articles/machine-learning/v-fake/migrate-overview.md",
+        "redirect_url": "/azure/machine-learning/migrate-overview",
+        "redirect_document_id": false
+    },
+    {
+        "source_path_from_root": "/articles/machine-learning/v-fake/introduction.md",
+        "redirect_url": "/azure/machine-learning/introduction",
+        "redirect_document_id": true
+    },
     {
         "source_path_from_root": "/articles/machine-learning/classic/migrate-execute-r-script.md",
         "redirect_url": "/azure/machine-learning/migrate-execute-r-script",

articles/machine-learning/tutorial-automated-ml-forecast.md

@@ -244,13 +244,9 @@ Delete just the deployment instance from the Azure Machine Learning studio, if y
 
 In this tutorial, you used automated ML in the Azure Machine Learning studio to create and deploy a time series forecasting model that predicts bike share rental demand. 
 
-See this article for steps on how to create a Power BI supported schema to facilitate consumption of your newly deployed web service:
-
-> [!div class="nextstepaction"]
-> [Consume a web service](/power-bi/connect-data/service-aml-integrate?context=azure%2fmachine-learning%2fcontext%2fml-context)
-
 + Learn more about [automated machine learning](concept-automated-ml.md).
 + For more information on classification metrics and charts, see the [Understand automated machine learning results](how-to-understand-automated-ml.md) article.
++ For more information on [FAQs on forecasting](how-to-automl-forecasting-faq.md).
 
 >[!NOTE]
 > This bike share dataset has been modified for this tutorial. This dataset was made available as part of a [Kaggle competition](https://www.kaggle.com/c/bike-sharing-demand/data) and was originally available via [Capital Bikeshare](https://www.capitalbikeshare.com/system-data). It can also be found within the [UCI Machine Learning Database](http://archive.ics.uci.edu/ml/datasets/Bike+Sharing+Dataset).<br><br>

articles/machine-learning/tutorial-first-experiment-automated-ml.md

@@ -286,12 +286,9 @@ Delete just the deployment instance from Azure Machine Learning at https:\//ml.a
 
 In this automated machine learning tutorial, you used Azure Machine Learning's automated ML interface to create and deploy a classification model. See these articles for more information and next steps:
 
-> [!div class="nextstepaction"]
-> [Consume a web service](/power-bi/connect-data/service-aml-integrate?context=azure%2fmachine-learning%2fcontext%2fml-context)
-
 + Learn more about [automated machine learning](concept-automated-ml.md).
 + For more information on classification metrics and charts, see the [Understand automated machine learning results](how-to-understand-automated-ml.md) article.
-
++ Learn more about [how to set up AutoML for NLP](how-to-auto-train-nlp-models.md).
 
 >[!NOTE]
 > This Bank Marketing dataset is made available under the [Creative Commons (CCO: Public Domain) License](https://creativecommons.org/publicdomain/zero/1.0/). Any rights in individual contents of the database are licensed under the [Database Contents License](https://creativecommons.org/publicdomain/zero/1.0/) and available on [Kaggle](https://www.kaggle.com/datasets/janiobachmann/bank-marketing-dataset). This dataset was originally available within the [UCI Machine Learning Database](https://archive.ics.uci.edu/ml/datasets/bank+marketing).<br><br>

articles/open-datasets/toc.yml

@@ -9,7 +9,7 @@
 - name: Tutorial
   items:
   - name: Regression with automated machine learning
-    href: ../machine-learning/tutorial-auto-train-models.md?bc=%2fazure%2fopen-datasets%2fbreadcrumb%2ftoc.json&toc=%2fazure%2fopen-datasets%2ftoc.json
+    href: /azure/machine-learning/how-to-auto-train-models-v1?bc=%2fazure%2fopen-datasets%2fbreadcrumb%2ftoc.json&toc=%2fazure%2fopen-datasets%2ftoc.json
   - name: Enrich an image classification model
     href: ../machine-learning/tutorial-train-models-with-aml.md?bc=%2fazure%2fopen-datasets%2fbreadcrumb%2ftoc.json&toc=%2fazure%2fopen-datasets%2ftoc.json
 - name: How-to guides

docfx.json

@@ -19,6 +19,9 @@
         "dest": "."
       },
       {
+        "group": "grp-machine-learning",
+        "src": "articles/machine-learning",
+        "dest": "./machine-learning",
         "files": [
           "**/*.md",
           "**/*.yml"
@@ -29,12 +32,12 @@
           "**/obj/**",
           "**/v1/**",
           "**/v-fake/**"
-        ],
-        "src": "articles/machine-learning",
-        "dest": "./machine-learning",
-        "group": "grp-machine-learning"
+        ]
       },
       {
+        "group": "grp-document-intelligence",
+        "src": "articles/ai-services/document-intelligence",
+        "dest": "./ai-services/document-intelligence/",
         "files": [
           "**/*.md",
           "**/*.yml"
@@ -43,12 +46,12 @@
           "**/_themes/**",
           "**/includes/**",
           "**/obj/**"
-        ],
-        "src": "articles/ai-services/document-intelligence",
-        "dest": "./ai-services/document-intelligence/",
-        "group": "grp-document-intelligence"
+        ]
       },
       {
+        "group": "grp-machine-learningv1",
+        "src": "articles/machine-learning/v1",
+        "dest": "./machine-learning",
         "files": [
           "**/*.md",
           "**/*.yml"
@@ -57,10 +60,21 @@
           "**/_themes/**",
           "**/includes/**",
           "**/obj/**"
+        ]
+      },
+      {
+        "group": "grp-machine-learningv1",
+        "src": "articles/machine-learning/v-fake",
+        "dest": "./machine-learning/v1",        
+        "files": [
+          "**/*.md",
+          "**/*.yml"
         ],
-        "src": "articles/machine-learning/v1",
-        "dest": "./machine-learning",
-        "group": "grp-machine-learningv1"
+        "exclude": [
+          "**/_themes/**",
+          "**/includes/**",
+          "**/obj/**"
+        ]
       },
       {
         "files": [
@@ -90,6 +104,9 @@
         "dest": "."
       },
       {
+        "group": "grp-document-intelligence",
+        "src": "articles/ai-services/document-intelligence",
+        "dest": "./ai-services/document-intelligence/",
         "files": [
           "**/*.gif",
           "**/*.jpeg",
@@ -100,12 +117,12 @@
         "exclude": [
           "**/_themes/**",
           "**/obj/**"
-        ],
-        "src": "articles/ai-services/document-intelligence",
-        "dest": "./ai-services/document-intelligence/",
-        "group": "grp-document-intelligence"
+        ]
       },
       {
+        "group": "grp-machine-learning",
+        "src": "articles/machine-learning",
+        "dest": "./machine-learning/",
         "files": [
           "**/*.gif",
           "**/*.jpeg",
@@ -118,12 +135,12 @@
           "**/obj/**",
           "**/v1/**",
           "**/v-fake/**"
-        ],
-        "src": "articles/machine-learning",
-        "dest": "./machine-learning/",
-        "group": "grp-machine-learning"
+        ]
       },
       {
+        "group": "grp-machine-learningv1",
+        "src": "articles/machine-learning/v1",
+        "dest": "./machine-learning/",
         "files": [
           "**/*.gif",
           "**/*.jpeg",
@@ -134,10 +151,23 @@
         "exclude": [
           "**/_themes/**",
           "**/obj/**"
+        ]
+      },
+      {
+        "group": "grp-machine-learningv1",
+        "src": "articles/machine-learning/v-fake",
+        "dest": "./machine-learning/v1",
+        "files": [
+          "**/*.gif",
+          "**/*.jpeg",
+          "**/*.jpg",
+          "**/*.png",
+          "**/*.svg"
         ],
-        "src": "articles/machine-learning/v1",
-        "dest": "./machine-learning/",
-        "group": "grp-machine-learningv1"
+        "exclude": [
+          "**/_themes/**",
+          "**/obj/**"
+        ]
       }
     ],
     "groups": {
@@ -395,4 +425,4 @@
     "externalReference": [],
     "template": []
   }
-}
+}