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articles/ai-services/language-service/summarization/how-to/document-summarization.md

@@ -123,14 +123,21 @@ curl -i -X POST https://<your-language-resource-endpoint>/language/analyze-text/
       "kind": "AbstractiveSummarization",
       "taskName": "Text Abstractive Summarization Task 1",
       "parameters": {
-        "summaryLength": short
+        "summaryLength": "short"
       }
     }
   ]
 }
 '
 ```
-If you don't specify `sentenceCount`, the model determines the summary length. Note that `sentenceCount` is the approximation of the sentence count of the output summary, range 1 to 20. Using sentenceCount is not recommended for abstractive summarization.
+If you don't specify `summaryLength`, the model determines the summary length.
+
+### Using the summaryLength parameter
+For the `summaryLength` parameter, three values are accepted:
+* oneSentence: Generates a summary of mostly 1 sentence, with around 80 tokens.
+* short: Generates a summary of mostly 2-3 sentences, with around 120 tokens.
+* medium: Generates a summary of mostly 4-6 sentences, with around 170 tokens.
+* long: Generates a summary of mostly over 7 sentences, with around 210 tokens.
 
 2. Make the following changes in the command where needed:
     - Replace the value `your-language-resource-key` with your key.
@@ -255,7 +262,7 @@ curl -i -X POST https://<your-language-resource-endpoint>/language/analyze-text/
 '
 ```
 
-### Using the summaryParameter
+### Using the summaryLength parameter
 For the `summaryLength` parameter, three values are accepted:
 * oneSentence: Generates a summary of mostly 1 sentence, with around 80 tokens.
 * short: Generates a summary of mostly 2-3 sentences, with around 120 tokens.

articles/ai-services/openai/how-to/assistant-functions.md

@@ -6,7 +6,7 @@ services: cognitive-services
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: how-to
-ms.date: 05/14/2024
+ms.date: 05/22/2024
 author: mrbullwinkle
 ms.author: mbullwin
 recommendations: false
@@ -37,6 +37,7 @@ To use all features of function calling including parallel functions, you need t
 > [!NOTE]
 > * We've added support for the `tool_choice` parameter which can be used to force the use of a specific tool (like `file_search`, `code_interpreter`, or a `function`) in a particular run. 
 > * Runs expire ten minutes after creation. Be sure to submit your tool outputs before this expiration.
+> * You can also perform function calling [with Azure Logic apps](./assistants-logic-apps.md)
 
 # [Python 1.x](#tab/python)
 

articles/ai-services/openai/how-to/use-your-data-securely.md

@@ -383,4 +383,7 @@ See the [inference API reference article](../references/on-your-data.md) for det
 
 You can now integrate [Microsoft Defender for Cloud](../../../defender-for-cloud/defender-for-cloud-introduction.md) (preview) with your Azure resources to protect your applications. Microsoft Defender for Cloud protects your applications with [threat protection for AI workloads](../../../defender-for-cloud/ai-threat-protection.md) , providing teams with evidence-based security alerts enriched with Microsoft threat intelligence signals and enables teams to strengthen their [security posture](../../../defender-for-cloud/ai-security-posture.md) with integrated security best-practice recommendations.
 
-Use [this form](https://forms.office.com/pages/responsepage.aspx?id=v4j5cvGGr0GRqy180BHbR9EXzLewuFRArQPJzR1tntlURThQR0hYU1MyRVRNODNMV1hBOUEzVlk3NC4u) to apply for access.
+Use [this form](https://forms.office.com/pages/responsepage.aspx?id=v4j5cvGGr0GRqy180BHbR9EXzLewuFRArQPJzR1tntlURThQR0hYU1MyRVRNODNMV1hBOUEzVlk3NC4u) to apply for access.
+
+
+:::image type="content" source="..\media\use-your-data\defender.png" alt-text="A screenshot showing Microsoft Defender for Cloud." lightbox="..\media\use-your-data\defender.png":::

articles/ai-services/openai/media/use-your-data/defender.png

@@ -30,7 +30,7 @@ A refresh of the Assistants API is now publicly available. It contains the follo
 You can now create messages with the [assistant](.//assistants-reference-messages.md#create-message) role to create custom conversation histories in Threads.
 * Support for `temperature`, `top_p`, `response_format` [parameters](./assistants-reference.md#create-an-assistant).
 * Streaming and polling support. You can use the helper functions in our Python SDK to create runs and stream responses. We have also added polling SDK helpers to share object status updates without the need for polling. 
-* Experiment with Logic Apps and Function Calling using Azure OpenAI Studio. Import your REST APIs implemented in Logic Apps as functions and the studio invokes the function (as a Logic Apps workflow) automatically based on the user prompt.
+* Experiment with [Logic Apps and Function Calling using Azure OpenAI Studio](./how-to/assistants-logic-apps.md). Import your REST APIs implemented in Logic Apps as functions and the studio invokes the function (as a Logic Apps workflow) automatically based on the user prompt.
 * AutoGen by Microsoft Research provides a multi-agent conversation framework to enable convenient building of Large Language Model (LLM) workflows across a wide range of applications. Azure OpenAI assistants are now integrated into AutoGen via `GPTAssistantAgent`, a new experimental agent that lets you seamlessly add Assistants into AutoGen-based multi-agent workflows. This enables multiple Azure OpenAI assistants that could be task or domain specialized to collaborate and tackle complex tasks.
 * Support for fine-tuned `gpt-3.5-turbo-0125` [models](./concepts/models.md#assistants-preview) in the following regions:
     * East US 2

articles/ai-services/openai/whats-new.md

@@ -8,6 +8,10 @@ ms.author: eur
 
 ### May 2024 release
 
+#### Video translation (Preview)
+
+Video translation is now available in public preview. Video translation is a feature in Azure AI Speech that enables you to seamlessly translate and generate videos in multiple languages automatically. This feature is designed to help you localize your video content to cater to diverse audiences around the globe. You can efficiently create immersive, localized videos across various use cases such as vlogs, education, news, enterprise training, advertising, film, TV shows, and more. For more information, see the [video translation overview](../../video-translation-overview.md).
+
 #### Pronunciation Assessment
 
 Speech [Pronunciation Assessment](../../how-to-pronunciation-assessment.md) now supports 24 languages generally available (with one new language added), with 7 more languages available in public preview. For more information, see the full [language list for Pronunciation Assessment](../../language-support.md?tabs=pronunciation-assessment).

articles/ai-services/speech-service/includes/release-notes/release-notes-stt.md

@@ -7,6 +7,12 @@ ms.author: eur
 ms.custom: references_regions
 ---
 
+### May 2024 release
+
+#### Personal voice (GA)
+
+Personal voice is now generally available. With personal voice, you can get AI generated replication of your voice (or users of your application) in a few seconds. You provide a one-minute speech sample as the audio prompt, and then use it to generate speech in any of the more than 90 languages supported across more than 100 locales. For more information, see the [personal voice overview](../../personal-voice-overview.md).
+
 ### April 2024 release
 
 #### Text to speech avatar

articles/ai-services/speech-service/includes/release-notes/release-notes-tts.md

@@ -17,9 +17,10 @@ Azure AI Speech is updated on an ongoing basis. To stay up-to-date with recent d
 
 ## Recent highlights
 
+* Video translation is now available in the Azure AI Speech service. For more information, see [What is video translation?](./video-translation-overview.md).
+* Personal voice is now generally available. For more information, see [What is personal voice?](./personal-voice-overview.md).
 * The Azure AI Speech service supports OpenAI text to speech voices. For more information, see [What are OpenAI text to speech voices?](./openai-voices.md). 
 * The custom voice API is available for creating and managing [professional](./professional-voice-create-project.md) and [personal](./personal-voice-create-project.md) custom neural voice models. 
-* Azure AI Speech now supports OpenAI's Whisper model via the batch transcription API. To learn more, check out the [Create a batch transcription](./batch-transcription-create.md#use-a-whisper-model) guide. 
 
 ## Release notes
 

articles/ai-services/speech-service/releasenotes.md

@@ -26,7 +26,7 @@ We have two network isolation aspects. One is the network isolation to access an
 You need to configure following network isolation configurations.
 
 - Choose network isolation mode. You have two options: allow internet outbound mode or allow only approved outbound mode.
-- Create private endpoint outbound rules to your private Azure resources. Private Azure AI services and Azure AI Search aren't supported yet. 
+- Create private endpoint outbound rules to your private Azure resources. Private Azure AI Search isn't supported yet. 
 - If you use Visual Studio Code integration with allow only approved outbound mode, create FQDN outbound rules described in the [use Visual Studio Code](#scenario-use-visual-studio-code) section.
 - If you use HuggingFace models in Models with allow only approved outbound mode, create FQDN outbound rules described in the [use HuggingFace models](#scenario-use-huggingface-models) section.
 
@@ -47,7 +47,7 @@ There are three different configuration modes for outbound traffic from the mana
 * Always use private endpoints to access Azure resources. 
 
     > [!IMPORTANT]
-    > While you can create a private endpoint for Azure AI services and Azure AI Search, the connected services must allow public networking. For more information, see [Connectivity to other services](#connectivity-to-other-services).
+    > While you can create a private endpoint for Azure AI Search, the connected services must allow public networking. For more information, see [Connectivity to other services](#connectivity-to-other-services).
 
 * You must add rules for each outbound connection you need to allow.
 * Adding FQDN outbound rules __increase your costs__ as this rule type uses Azure Firewall.
@@ -153,7 +153,7 @@ Before following the steps in this article, make sure you have the following pre
 
 ### Connectivity to other services
 
-* Azure AI services provisioned with Azure AI Studio hub and Azure AI Search attached should be public.
+* Azure AI Search should be public with your provisioned private Azure AI Studio hub.
 * The "Add your data" feature in the Azure AI Studio playground doesn't support using a virtual network or private endpoint on the following resources:
     * Azure AI Search
     * Azure OpenAI

articles/ai-studio/how-to/configure-managed-network.md

@@ -26,7 +26,7 @@ You get several hub default resources in your resource group. You need to config
 - Disable public network access of hub default resources such as Azure Storage, Azure Key Vault, and Azure Container Registry.
 - Establish private endpoint connection to hub default resources. You need to have both a blob and file private endpoint for the default storage account.
 - [Managed identity configurations](#managed-identity-configuration) to allow hubs access your storage account if it's private.
-- Azure AI services and Azure AI Search should be public.
+- Azure AI Search should be public.
 
 
 ## Prerequisites