Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into rolyon-rbac-troubleshooting-classic-admin-guest

Author: rolyon

articles/active-directory/develop/app-sign-in-flow.md

@@ -9,7 +9,7 @@ ms.service: active-directory
 ms.subservice: develop
 ms.topic: conceptual
 ms.workload: identity
-ms.date: 05/18/2020
+ms.date: 02/17/2023
 ms.author: ryanwi
 ms.reviewer: jmprieur, saeeda, sureshja, ludwignick
 ms.custom: aaddev, identityplatformtop40, scenarios:getting-started

articles/active-directory/develop/application-model.md

@@ -9,7 +9,7 @@ ms.service: active-directory
 ms.subservice: develop
 ms.topic: conceptual
 ms.workload: identity
-ms.date: 11/02/2022
+ms.date: 02/17/2023
 ms.author: ryanwi
 ms.reviewer: jmprieur, saeeda, sureshja, ludwignick
 ms.custom: aaddev, identityplatformtop40, scenarios:getting-started

articles/active-directory/develop/howto-modify-supported-accounts.md

@@ -9,7 +9,7 @@ ms.service: active-directory
 ms.subservice: develop
 ms.topic: how-to
 ms.workload: identity
-ms.date: 11/02/2022
+ms.date: 02/17/2023
 ms.author: ryanwi
 ms.custom: aaddev
 ms.reviewer: aragra, sureshja

articles/active-directory/develop/quickstart-create-new-tenant.md

@@ -8,7 +8,7 @@ ms.service: active-directory
 ms.subservice: develop
 ms.workload: identity
 ms.topic: quickstart
-ms.date: 09/08/2022
+ms.date: 02/17/2023
 ms.author: ryanwi
 ms.reviewer: jmprieur
 ms.custom: aaddev, identityplatformtop40, fasttrack-edit, mode-other
@@ -53,7 +53,7 @@ To check the tenant:
 > [!TIP]
 > To find the tenant ID, you can:
 > * Hover over your account name to get the directory or tenant ID.
-> * Search and select **Azure Active Directory** > **Properties** > **Tenant ID** in the Azure portal.
+> * Search and select **Azure Active Directory** > **Overview** > **Tenant ID** in the Azure portal.
 
 If you don't have a tenant associated with your account, you'll see a GUID under your account name. You won't be able to do actions like registering apps until you create an Azure AD tenant.
 

articles/active-directory/develop/single-and-multi-tenant-apps.md

@@ -9,7 +9,7 @@ ms.service: active-directory
 ms.subservice: develop
 ms.topic: conceptual
 ms.workload: identity
-ms.date: 11/02/2022
+ms.date: 02/17/2023
 ms.author: ryanwi
 ms.reviewer: justhu
 ms.custom: aaddev

articles/active-directory/develop/workload-identity-federation-considerations.md

@@ -9,7 +9,7 @@ ms.service: active-directory
 ms.subservice: develop
 ms.workload: identity
 ms.topic: conceptual
-ms.date: 02/15/2022
+ms.date: 02/17/2023
 ms.author: ryanwi
 ms.reviewer: shkhalid, udayh, cbrooks
 ms.custom: aaddev, references_regions

articles/cognitive-services/openai/concepts/content-filter.md

@@ -1,7 +1,7 @@
 ---
-title: Azure OpenAI content filtering
+title: Azure OpenAI Service content filtering
 titleSuffix: Azure OpenAI
-description: Learn about the content filtering capabilities of the OpenAI service in Azure Cognitive Services
+description: Learn about the content filtering capabilities of Azure OpenAI in Azure Cognitive Services
 author: chrishMSFT
 ms.author: chrhoder
 ms.service: cognitive-services

articles/cognitive-services/openai/concepts/models.md

@@ -1,5 +1,5 @@
 ---
-title: Azure OpenAI models
+title: Azure OpenAI Service models
 titleSuffix: Azure OpenAI
 description: Learn about the different models that are available in Azure OpenAI. 
 ms.service: cognitive-services
@@ -13,7 +13,7 @@ recommendations: false
 keywords: 
 ---
 
-# Azure OpenAI models
+# Azure OpenAI Service models
 
 The service provides access to many different models, grouped by family and capability. A model family typically associates models by their intended task. The following table describes model families currently available in Azure OpenAI. Not all models are available in all regions currently. Please refer to the capability table at the bottom for a full breakdown. 
 

articles/cognitive-services/openai/concepts/understand-embeddings.md

@@ -1,5 +1,5 @@
 ---
-title: Azure OpenAI embeddings
+title: Azure OpenAI Service embeddings
 titleSuffix: Azure OpenAI - embeddings and cosine similarity
 description: Learn more about Azure OpenAI embeddings API for document search and cosine similarity
 services: cognitive-services
@@ -14,7 +14,7 @@ recommendations: false
 ms.custom:
 ---
 
-# Understanding embeddings in Azure OpenAI
+# Understanding embeddings in Azure OpenAI Service
 
 An embedding is a special format of data representation that can be easily utilized by machine learning models and algorithms. The embedding is an information dense representation of the semantic meaning of a piece of text. Each embedding is a vector of floating-point numbers, such that the distance between two embeddings in the vector space is correlated with semantic similarity between two inputs in the original format. For example, if two texts are similar, then their vector representations should also be similar.
 

articles/cognitive-services/openai/encrypt-data-at-rest.md

@@ -1,5 +1,5 @@
 ---
-title: Azure OpenAI encryption of data at rest
+title: Azure OpenAI Service encryption of data at rest
 description: Learn how Azure OpenAI encrypts your data when it's persisted to the cloud.
 titleSuffix: Azure Cognitive Services
 author: mrbullwinkle
@@ -10,7 +10,7 @@ ms.date: 11/14/2022
 ms.author: mbullwin
 ---
 
-# Azure OpenAI encryption of data at rest
+# Azure OpenAI Service encryption of data at rest
 
 Azure OpenAI automatically encrypts your data when it's persisted to the cloud. The encryption protects your data and helps you meet your organizational security and compliance commitments. This article covers how Azure OpenAI handles encryption of data at rest, specifically training data and fine-tuned models. For information on how data provided by you to the service is processed, used, and stored, consult the [data, privacy, and security article](/legal/cognitive-services/openai/data-privacy?context=%2Fazure%2Fcognitive-services%2Fopenai%2Fcontext%2Fcontext).