Merge pull request #276318 from mrbullwinkle/mrb_05_24_2024_fine_tuning

[Azure OpenAI] fine-tuning cleanup

Author: prmerger-automator[bot]

articles/ai-services/openai/faq.yml

@@ -181,7 +181,7 @@ sections:
       - question: |
           Why was my fine-tuned model deployment deleted? 
         answer:
-          If a customized (fine-tuned) model is deployed for more than 15 days during which no completions or chat completions calls are made to it, the deployment is automatically deleted (and no further hosting charges are incurred for that deployment). The underlying customized model remains available and can be redeployed at any time. To learn more, check out the [how-to-article](how-to/fine-tuning.md?pivots=programming-language-studio#deploy-a-customized-model).  
+          If a customized (fine-tuned) model is deployed for more than 15 days during which no completions or chat completions calls are made to it, the deployment is automatically deleted (and no further hosting charges are incurred for that deployment). The underlying customized model remains available and can be redeployed at any time. To learn more, check out the [how-to-article](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-studio#deploy-a-custom-model).  
       - question: |
           How do I deploy a model with the REST API? 
         answer:

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

@@ -379,19 +379,17 @@ This command isn't available in the 0.28.1 OpenAI Python library. Upgrade to the
 
 [!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
 
-## Deploy a customized model
+## Deploy a fine-tuned model
 
 When the fine-tuning job succeeds, the value of the `fine_tuned_model` variable in the response body is set to the name of your customized model. Your model is now also available for discovery from the [list Models API](/rest/api/azureopenai/models/list). However, you can't issue completion calls to your customized model until your customized model is deployed. You must deploy your customized model to make it available for use with completion calls.
 
 [!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 
-You can use either [Azure OpenAI](#deploy-fine-tuned-model) or the [Azure CLI](#deploy-a-model-with-azure-cli) to deploy your customized model.
+You can also use [Azure OpenAI Studio](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-studio#deploy-a-fine-tuned-model) or the [Azure CLI](#deploy-a-model-with-azure-cli) to deploy your customized model.
 
 > [!NOTE]
 > Only one deployment is permitted for a customized model. An error occurs if you select an already-deployed customized model.
 
-## Deploy fine-tuned model
-
 Unlike the previous SDK commands, deployment must be done using the control plane API which requires separate authorization, a different API path, and a different API version.
 
 |variable      | Definition|

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

@@ -252,7 +252,7 @@ curl -X POST $AZURE_OPENAI_ENDPOINT/openai/fine_tuning/jobs/{fine_tuning_job_id}
 
 [!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
 
-## Deploy a customized model
+## Deploy a fine-tuned model
 
 [!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 

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

@@ -321,7 +321,7 @@ Here are some of the tasks you can do on the **Models** pane:
 
 [!INCLUDE [Safety evaluation](../includes/safety-evaluation.md)]
 
-## Deploy a custom model
+## Deploy a fine-tuned model
 
 When the fine-tuning job succeeds, you can deploy the custom model from the **Models** pane. You must deploy your custom model to make it available for use with completion calls.
 

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

@@ -415,7 +415,7 @@ If you are currently using the `2023-03-15-preview` API, we recommend migrating
 
 - **DALL-E 2 public preview**. Azure OpenAI Service now supports image generation APIs powered by OpenAI's DALL-E 2 model. Get AI-generated images based on the descriptive text you provide. To learn more, check out the [quickstart](./dall-e-quickstart.md). To request access, existing Azure OpenAI customers can [apply by filling out this form](https://aka.ms/oai/access).
 
-- **Inactive deployments of customized models will now be deleted after 15 days; models will remain available for redeployment.** If a customized (fine-tuned) model is deployed for more than fifteen (15) days during which no completions or chat completions calls are made to it, the deployment will automatically be deleted (and no further hosting charges will be incurred for that deployment). The underlying customized model will remain available and can be redeployed at any time. To learn more check out the [how-to-article](./how-to/fine-tuning.md?pivots=programming-language-studio#deploy-a-customized-model).
+- **Inactive deployments of customized models will now be deleted after 15 days; models will remain available for redeployment.** If a customized (fine-tuned) model is deployed for more than fifteen (15) days during which no completions or chat completions calls are made to it, the deployment will automatically be deleted (and no further hosting charges will be incurred for that deployment). The underlying customized model will remain available and can be redeployed at any time. To learn more check out the [how-to-article](/azure/ai-services/openai/how-to/fine-tuning?tabs=turbo%2Cpython-new&pivots=programming-language-studio#deploy-a-custom-model).
 
 
 ## March 2023