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

Author: duongau

.openpublishing.redirection.json

@@ -1,5 +1,20 @@
 {
   "redirections": [
+    {
+      "source_path": "articles/storage/files/storage-files-migration-storsimple-1200.md",
+      "redirect_url": "/previous-versions/azure/storage/files/storage-files-migration-storsimple-1200",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/storage/files/storage-files-migration-storsimple-8000.md",
+      "redirect_url": "/previous-versions/azure/storage/files/storage-files-migration-storsimple-8000",
+      "redirect_document_id": false
+    },
+    {
+      "source_path": "articles/storage/file-sync/file-sync-storsimple-cost-comparison.md",
+      "redirect_url": "/previous-versions/azure/storage/file-sync/file-sync-storsimple-cost-comparison",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/advisor/advisor-alerts.md",
       "redirect_url": "/azure/advisor/advisor-alerts-portal",

.openpublishing.redirection.sentinel.json

@@ -1,5 +1,10 @@
 {
     "redirections": [
+        {
+            "source_path": "articles/sentinel/cef-name-mapping.md",
+            "redirect_url": "/azure/sentinel/cef-syslog-ama-overview",
+            "redirect_document_id": false
+        },
         {
             "source_path": "articles/sentinel/detect-threats-built-in.md#use-analytics-rule-templates",
             "redirect_url": "/azure/sentinel/create-analytics-rule-from-template",

CODEOWNERS

@@ -1,5 +1,11 @@
 # Codeowners file
 # Each line is a file pattern followed by one or more owners.
 
-# Specify owners for the aks folder
+# Folder paths in this list have been migrated to new repositories and content can no longer be created for these services in this repo.
 /articles/aks @tynevi @thomps23
+/articles/defender-for-cloud  @tynevi @thomps23
+/articles/attestation  @tynevi @thomps23
+/articles/confidential-ledger  @tynevi @thomps23
+/articles/dedicated-hsm  @tynevi @thomps23
+/articles/key-vault  @tynevi @thomps23
+/articles/payment-hsm  @tynevi @thomps23

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

@@ -276,8 +276,9 @@ These models can only be used with Embedding API requests.
 | `gpt-35-turbo` (1106) | East US2 <br> North Central US <br> Sweden Central <br> Switzerland West | Input: 16,385<br> Output: 4,096 |  Sep 2021|
 | `gpt-35-turbo` (0125)  | East US2 <br> North Central US <br> Sweden Central <br> Switzerland West | 16,385 | Sep 2021 |
 | `gpt-4` (0613) <sup>**1**</sup> | North Central US <br> Sweden Central | 8192 | Sep 2021 |
+| `gpt-4o-mini` <sup>**1**</sup> (2024-07-18) | North Central US <br> Sweden Central | Input: 128,000 <br> Output: 16,384  <br> Training example context length: 64,536 | Oct 2023 |
 
-**<sup>1</sup>** GPT-4 fine-tuning is currently in public preview. See our [GPT-4 fine-tuning safety evaluation guidance](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-python#safety-evaluation-gpt-4-fine-tuning---public-preview) for more information.
+**<sup>1</sup>** GPT-4 and GPT-4o mini fine-tuning is currently in public preview. See our [GPT-4 & GPT-4o mini fine-tuning safety evaluation guidance](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-python#safety-evaluation-gpt-4-fine-tuning---public-preview) for more information.
 
 ### Whisper models
 

articles/ai-services/openai/how-to/fine-tuning.md

@@ -7,7 +7,7 @@ manager: nitinme
 ms.service: azure-ai-openai
 ms.custom: build-2023, build-2023-dataai, devx-track-python
 ms.topic: how-to
-ms.date: 07/25/2024
+ms.date: 08/02/2024
 author: mrbullwinkle
 ms.author: mbullwin
 zone_pivot_groups: openai-fine-tuning-new

articles/ai-services/openai/includes/fine-tuning-openai-in-ai-studio.md

@@ -31,7 +31,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0613)
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
-- `gpt-4` (0613)**<sup>*</sup>** 
+- `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/fine-tuning-python.md

@@ -32,6 +32,7 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
 - `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/fine-tuning-rest.md

@@ -6,7 +6,7 @@ description: Learn how to create your own customized model with Azure OpenAI Ser
 manager: nitinme
 ms.service: azure-ai-openai
 ms.topic: include
-ms.date: 05/16/2024
+ms.date: 08/02/2024
 author: mrbullwinkle
 ms.author: mbullwin
 ---
@@ -30,7 +30,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0613)
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
-- `gpt-4` (0613)**<sup>*</sup>** 
+- `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/fine-tuning-studio.md

@@ -29,7 +29,8 @@ The following models support fine-tuning:
 - `gpt-35-turbo` (0613)
 - `gpt-35-turbo` (1106)
 - `gpt-35-turbo` (0125)
-- `gpt-4` (0613)**<sup>*</sup>** 
+- `gpt-4` (0613)**<sup>*</sup>**
+- `gpt-4o-mini` (2024-07-18)**<sup>*</sup>**
 
 **<sup>*</sup>** Fine-tuning for this model is currently in public preview.
 

articles/ai-services/openai/includes/safety-evaluation.md

@@ -10,13 +10,13 @@ author: mrbullwinkle
 ms.author: mbullwin
 ---
 
-GPT-4 is our most advanced model that can be fine-tuned to your needs. As with Azure OpenAI models generally, the advanced capabilities of fine-tuned models come with increased responsible AI challenges related to harmful content, manipulation, human-like behavior, privacy issues, and more. Learn more about risks, capabilities, and limitations in the [Overview of Responsible AI practices](/legal/cognitive-services/openai/overview?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext) and [Transparency Note](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fcognitive-services%2Fopenai%2Fcontext%2Fcontext&tabs=text). To help mitigate the risks associated with GPT-4 fine-tuned models, we have implemented additional evaluation steps to help detect and prevent harmful content in the training and outputs of fine-tuned models. These steps are grounded in the [Microsoft Responsible AI Standard](https://www.microsoft.com/ai/responsible-ai) and [Azure OpenAI Service content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cpython-new).
+GPT-4 and GPT-4o-mini are our most advanced models that can be fine-tuned to your needs. As with Azure OpenAI models generally, the advanced capabilities of fine-tuned models come with increased responsible AI challenges related to harmful content, manipulation, human-like behavior, privacy issues, and more. Learn more about risks, capabilities, and limitations in the [Overview of Responsible AI practices](/legal/cognitive-services/openai/overview?context=%2Fazure%2Fai-services%2Fopenai%2Fcontext%2Fcontext) and [Transparency Note](/legal/cognitive-services/openai/transparency-note?context=%2Fazure%2Fcognitive-services%2Fopenai%2Fcontext%2Fcontext&tabs=text). To help mitigate the risks associated with GPT-4 and GPT-4o-mini fine-tuned models, we have implemented additional evaluation steps to help detect and prevent harmful content in the training and outputs of fine-tuned models. These steps are grounded in the [Microsoft Responsible AI Standard](https://www.microsoft.com/ai/responsible-ai) and [Azure OpenAI Service content filtering](/azure/ai-services/openai/concepts/content-filter?tabs=warning%2Cpython-new).
 
 - Evaluations are conducted in dedicated, customer specific, private workspaces;
 - Evaluation endpoints are in the same geography as the Azure OpenAI resource;
 - Training data is not stored in connection with performing evaluations; only the final model assessment (deployable or not deployable) is persisted; and
 
-GPT-4 fine-tuned model evaluation filters are set to predefined thresholds and cannot be modified by customers; they aren't tied to any custom content filtering configuration you may have created.
+GPT-4 and GPT-4o-mini fine-tuned model evaluation filters are set to predefined thresholds and cannot be modified by customers; they aren't tied to any custom content filtering configuration you may have created.
 
 ### Data evaluation