edit

Author: anaharris-ms

.openpublishing.redirection.container-registry.json

@@ -109,7 +109,7 @@
         },
         {
             "source_path": "articles/container-registry/container-registry-diagnostics-audit-logs.md",
-            "redirect_url": "/azure/container-registry/monitor-service"
+            "redirect_url": "/azure/container-registry/monitor-container-registry"
         },
         {
             "source_path_from_root": "/articles/container-registry/container-registry-managed-get-started-azure-cli.md",
@@ -155,6 +155,16 @@
             "source_path_from_root": "/articles/container-registry/github-action-scan.md",
             "redirect_url": "/azure/developer/github/",
             "redirect_document_id": false
+        },
+        {
+            "source_path": "articles/container-registry/monitor-service.md",
+            "redirect_url": "/azure/container-registry/monitor-container-registry",
+            "redirect_document_id": true
+        },
+        {
+            "source_path": "articles/container-registry/monitor-service-reference.md",
+            "redirect_url": "/azure/container-registry/monitor-container-registry-reference",
+            "redirect_document_id": true
         }
     ]
 }

.openpublishing.redirection.json

@@ -4878,6 +4878,13 @@
             "redirect_document_id": false
         },
         {
+
+            "source_path_from_root": "/articles/backup/azure-backup-move-vaults-across-regions.md",
+            "redirect_url": "/azure/operational-excellence/relocation-backup",
+            "redirect_document_id": false
+        },
+        {
+
            "source_path_from_root": "/articles/cosmos-db/how-to-move-regions.md",
            "redirect_url": "/azure/operational-excellence/relocation-cosmos-db",
            "redirect_document_id": false
@@ -4931,6 +4938,16 @@
             "source_path_from_root": "/articles/virtual-network/ip-services/create-vm-dual-stack-ipv6-powershell.md",
             "redirect_url": "/azure/virtual-network/ip-services/create-vm-dual-stack-ipv6-portal",
             "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/virtual-network/ip-services/routing-preference-powershell.md",
+            "redirect_url": "/azure/virtual-network/ip-services/routing-preference-portal",
+            "redirect_document_id": false
+        },
+        {
+            "source_path_from_root": "/articles/virtual-network/ip-services/routing-preference-cli.md",
+            "redirect_url": "/azure/virtual-network/ip-services/routing-preference-portal",
+            "redirect_document_id": false
         }
 
     ]

articles/active-directory-b2c/custom-email-sendgrid.md

@@ -542,9 +542,9 @@ The Localization element allows you to support multiple locales or languages in
     <LocalizedString ElementType="DisplayControl" ElementId="emailVerificationControl" StringId="but_send_new_code">Send new code</LocalizedString>
     <LocalizedString ElementType="DisplayControl" ElementId="emailVerificationControl" StringId="but_change_claims">Change e-mail</LocalizedString>
     <!-- Claims-->
-    <LocalizedString ElementType="ClaimType" ElementId="emailVerificationCode" StringId="DisplayName">Verification Code</LocalizedString>
-    <LocalizedString ElementType="ClaimType" ElementId="emailVerificationCode" StringId="UserHelpText">Verification code received in the email.</LocalizedString>
-    <LocalizedString ElementType="ClaimType" ElementId="emailVerificationCode" StringId="AdminHelpText">Verification code received in the email.</LocalizedString>
+    <LocalizedString ElementType="ClaimType" ElementId="VerificationCode" StringId="DisplayName">Verification Code</LocalizedString>
+    <LocalizedString ElementType="ClaimType" ElementId="VerificationCode" StringId="UserHelpText">Verification code received in the email.</LocalizedString>
+    <LocalizedString ElementType="ClaimType" ElementId="VerificationCode" StringId="AdminHelpText">Verification code received in the email.</LocalizedString>
     <LocalizedString ElementType="ClaimType" ElementId="email" StringId="DisplayName">Email</LocalizedString>
     <!-- Email validation error messages-->
     <LocalizedString ElementType="ErrorMessage" StringId="UserMessageIfSessionDoesNotExist">You have exceeded the maximum time allowed.</LocalizedString>

articles/ai-services/openai/concepts/use-your-data.md

@@ -579,14 +579,18 @@ These estimates will vary based on the values set for the above parameters. For
 
 The estimates also depend on the nature of the documents and questions being asked. For example, if the questions are open-ended, the responses are likely to be longer. Similarly, a longer system message would contribute to a longer prompt that consumes more tokens, and if the conversation history is long, the prompt will be longer.
 
-| Model | Max tokens for system message | Max tokens for model response |
-|--|--|--|
-| GPT-35-0301 | 400 | 1500 |
-| GPT-35-0613-16K | 1000 | 3200 |
-| GPT-4-0613-8K | 400 | 1500 |
-| GPT-4-0613-32K | 2000 | 6400 |
-
-The table above shows the maximum number of tokens that can be used for the [system message](#system-message) and the model response. Additionally, the following also consume tokens:
+| Model | Max tokens for system message | 
+|--|--|
+| GPT-35-0301 | 400 |
+| GPT-35-0613-16K | 1000 |
+| GPT-4-0613-8K | 400 |
+| GPT-4-0613-32K | 2000 |
+| GPT-35-turbo-0125 | 2000 |
+| GPT-4-turbo-0409 | 4000 |
+| GPT-4o | 4000 |
+| GPT-4o-mini | 4000 |
+
+The table above shows the maximum number of tokens that can be used for the [system message](#system-message). To see the maximum tokens for the model response, see the [models article](./models.md#gpt-4-and-gpt-4-turbo-models). Additionally, the following also consume tokens:
 
 
 

articles/ai-services/openai/how-to/deployment-types.md

@@ -55,11 +55,9 @@ Standard deployments are optimized for low to medium volume workloads with high
 > [!IMPORTANT]
 > Data might be processed outside of the resource's Azure geography, but data storage remains in its Azure geography. [Learn more about data residency](https://azure.microsoft.com/explore/global-infrastructure/data-residency/).
 
-Global deployments are available in the same Azure OpenAI resources as non-global offers but allow you to leverage Azure's global infrastructure to dynamically route traffic to the data center with best availability for each request.  Global standard will provide the highest default quota for new models and eliminates the need to load balance across multiple resources.  
+Global deployments are available in the same Azure OpenAI resources as non-global deployment types but allow you to leverage Azure's global infrastructure to dynamically route traffic to the data center with best availability for each request.  Global standard provides the highest default quota and eliminates the need to load balance across multiple resources.  
 
-The deployment type is optimized for low to medium volume workloads with high burstiness. Customers with high consistent volume may experience greater latency variability. The threshold is set per model. See the [quotas page to learn more](./quota.md).  
-
-For customers that require the lower latency variance at large workload usage, we recommend purchasing provisioned throughput.
+Customers with high consistent volume may experience greater latency variability. The threshold is set per model. See the [quotas page to learn more](./quota.md).  For applications that require the lower latency variance at large workload usage, we recommend purchasing provisioned throughput.
 
 ### How to disable access to global deployments in your subscription
 

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

@@ -61,7 +61,7 @@ The following sections provide you with a quick guide to the default quotas and
 
 |Tier| Quota Limit in tokens per minute (TPM) | Requests per minute |
 |---|:---:|:---:|
-|Enterprise agreement | 30 M | 60 K |
+|Enterprise agreement | 30 M | 180 K |
 |Default | 450 K | 2.7 K |
 
 M = million | K = thousand

articles/ai-services/speech-service/includes/how-to/speech-synthesis/python.md

@@ -86,7 +86,7 @@ In this example, use the `AudioDataStream` constructor to get a stream from the
 ```python
 speech_synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=None)
 result = speech_synthesizer.speak_text_async("I'm excited to try text to speech").get()
-stream = AudioDataStream(result)
+stream = speechsdk.AudioDataStream(result)
 ```
 
 At this point, you can implement any custom behavior by using the resulting `stream` object.

articles/ai-studio/concepts/fine-tuning-overview.md

@@ -99,6 +99,7 @@ There isn't a single right answer to this question, but you should have clearly
 
 Now that you know when to leverage fine-tuning for your use-case, you can go to Azure AI Studio to find several models available to fine-tune including:
 - Azure OpenAI models
+- Phi-3 family of models
 - Meta Llama 2 family models
 - Meta Llama 3.1 family of models
 
@@ -119,22 +120,33 @@ The following Azure OpenAI models are supported in Azure AI Studio for fine-tuni
 
 Please note for fine-tuning Azure OpenAI models, you must add a connection to an Azure OpenAI resource with a supported region to your project.
 
+### Phi-3 family models
+The following Phi-3 family models are supported in Azure AI Studio for fine-tuning:
+- `Phi-3-mini-4k-instruct`
+- `Phi-3-mini-128k-instruct`
+- `Phi-3-medium-4k-instruct`
+- `Phi-3-medium-128k-instruct`
+
+Fine-tuning of Phi-3 models is currently supported in projects located in East US2.
+
 ### Llama 2 family models
 The following Llama 2 family models are supported in Azure AI Studio for fine-tuning:
 - `Meta-Llama-2-70b`
 - `Meta-Llama-2-7b`
 - `Meta-Llama-2-13b`
 
-Fine-tuning of Llama 2 models is currently supported in projects located in West US 3.
+Fine-tuning of Llama 2 models is currently supported in projects located in West US3.
 
 ### Llama 3.1 family models
 The following Llama 3.1 family models are supported in Azure AI Studio for fine-tuning:
 - `Meta-Llama-3.1-70b-Instruct`
-- `Meta-Llama-3.1-7b-Instruct`
+- `Meta-Llama-3.1-8b-Instruct`
 
-Fine-tuning of Llama 3.1 models is currently supported in projects located in West US 3.
+Fine-tuning of Llama 3.1 models is currently supported in projects located in West US3.
 
 ## Related content
 
 - [Learn how to fine-tune an Azure OpenAI model in Azure AI Studio](../../ai-services/openai/how-to/fine-tuning.md?context=/azure/ai-studio/context/context)
 - [Learn how to fine-tune a Llama 2 model in Azure AI Studio](../how-to/fine-tune-model-llama.md)
+- [Learn how to fine-tune a Phi-3 model in Azure AI Studio](../how-to/fine-tune-phi-3.md)
+- [How to deploy Phi-3 family of small language models with Azure AI Studio](../how-to/deploy-models-phi-3.md)