Merge branch 'release-azure-agents' of https://github.com/MicrosoftDocs/azure-ai-docs-pr into agents

Author: aahill

articles/ai-studio/how-to/autoscale.md

@@ -8,25 +8,23 @@ ms.custom:
   - ignite-2023
   - build-2024
 ms.topic: how-to
-ms.date: 5/21/2024
+ms.date: 12/09/2024
 ms.reviewer: siarora
 ms.author: larryfr
 author: Blackmist
 ---
 
 # Autoscale Azure AI limits
 
-[!INCLUDE [feature-preview](../includes/feature-preview.md)]
-
-This article provides guidance for how you can manage and increase quotas for resources with Azure AI Foundry.
+This article provides guidance for how you can manage and increase quotas for Azure AI services resources with Azure AI Foundry.
 
 ## Overview
 
 Each Azure AI services resource has a preconfigured static call rate (transactions per second) which limits the number of concurrent calls that you can make to the backend service in a given time frame. The autoscale feature automatically increases or decreases your resource's rate limits based on near or real-time resource usage metrics and backend service capacity metrics.
 
 ## Get started with the autoscale feature
 
-This feature is disabled by default for every new resource. Follow these instructions to enable it.
+This feature is disabled by default for every new resource. To enable it, use the following information.
 
 #### [Azure portal](#tab/portal)
 
@@ -61,7 +59,7 @@ By default, Azure AI services resources have a default rate limit of 10 TPS. If
 
 ### Does autoscale increase my Azure spend? 
 
-Azure AI services pricing hasn't changed and can be accessed [here](https://azure.microsoft.com/pricing/details/cognitive-services/). We'll only bill for successful calls made to Azure AI services APIs. However, increased call rate limits mean more transactions are completed, and you might receive a higher bill.
+Azure AI services pricing hasn't changed and can be viewed from the [pricing page](https://azure.microsoft.com/pricing/details/cognitive-services/). We'll only bill for successful calls made to Azure AI services APIs. However, increased call rate limits mean more transactions are completed, and you might receive a higher bill.
 
 Be aware of potential errors and their consequences. If a bug in your client application causes it to call the service hundreds of times per second, that would likely lead to a higher bill, whereas the cost would be much more limited under a fixed rate limit. Errors of this kind are your responsibility. We highly recommend that you perform development and client update tests against a resource with a fixed rate limit prior to using the autoscale feature.
 

articles/ai-studio/index.yml

@@ -1,7 +1,7 @@
 ### YamlMime:Landing
 
 title: Azure AI Foundry documentation # < 60 chars
-summary:  Build cutting-edge, market-ready, responsible applications for your organization with AI.
+summary:  Safely design, customize, and manage AI applications and agents at scale.
 metadata:
   title: Azure AI Foundry documentation
   description: Azure AI Foundry helps developers and organizations rapidly create intelligent, cutting-edge, market-ready, and responsible applications with out-of-the-box and pre-built and customizable APIs and models. Example applications include generative AI, natural language processing for conversations, search, monitoring, translation, speech, vision, and decision-making.

articles/machine-learning/v1/how-to-generate-automl-training-code.md

@@ -10,7 +10,7 @@ ms.service: azure-machine-learning
 ms.subservice: automl
 ms.custom: UpdateFrequency5, sdkv1
 ms.topic: how-to
-ms.date: 09/07/2023
+ms.date: 12/06/2024
 monikerRange: 'azureml-api-1'
 ---
 

articles/machine-learning/v1/media/how-to-generate-automl-training-code/code-generation-demonstration.png

@@ -8,7 +8,7 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2023
 ms.topic: how-to
-ms.date: 01/18/2024
+ms.date: 12/10/2024
 ---
 
 # Reference a path to enriched nodes using context and source properties an Azure AI Search skillset

articles/search/cognitive-search-concept-annotations-syntax.md

@@ -8,7 +8,7 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2023
 ms.topic: conceptual
-ms.date: 02/16/2024
+ms.date: 12/10/2024
 ---
 
 # Tips for AI enrichment in Azure AI Search 

articles/search/cognitive-search-concept-troubleshooting.md

@@ -9,7 +9,7 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2023
 ms.topic: conceptual
-ms.date: 06/25/2024
+ms.date: 12/10/2024
 ---
 
 # Knowledge store in Azure AI Search

articles/search/knowledge-store-concept-intro.md

@@ -9,7 +9,7 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2023
 ms.topic: conceptual
-ms.date: 03/18/2024
+ms.date: 12/10/2024
 ---
 
 # Connect a knowledge store with Power BI

articles/search/knowledge-store-connect-power-bi.md

@@ -7,7 +7,7 @@ ms.author: heidist
 manager: nitinme
 ms.service: azure-ai-search
 ms.topic: quickstart
-ms.date: 03/18/2024
+ms.date: 12/10/2024
 ms.custom:
   - mode-ui
   - ignite-2023

articles/search/knowledge-store-create-portal.md

@@ -9,7 +9,7 @@ ms.service: azure-ai-search
 ms.custom:
   - ignite-2023
 ms.topic: how-to
-ms.date: 03/08/2024
+ms.date: 12/10/2024
 ---
 
 # Create a knowledge store using REST