update includes

Author: mrbullwinkle

articles/cognitive-services/openai/how-to/manage-costs.md

@@ -49,7 +49,7 @@ Azure OpenAI fine-tuned models are charged based on three factors:
 
 The hosting hours cost is important to be aware of since once a fine-tuned model is deployed it continues to incur an hourly cost regardless of whether you're actively using it. Fine-tuned model costs should be monitored closely.
 
-[!INCLUDE [Fine-tuning deletion](../includes/fine-tune.md.md)]
+[!INCLUDE [Fine-tuning deletion](../includes/fine-tune.md)]
 
 ### Other costs that might accrue with Azure OpenAI Service
 

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

@@ -237,7 +237,7 @@ print(f'Found {len(result)} fine-tune jobs.')
 
 When the fine-tune job has succeeded, the value of `fine_tuned_model` in the response body of the FineTune.retrieve() method is set to the name of your customized model. Your model is now also available for discovery from the [list Models API](/rest/api/cognitiveservices/azureopenaistable/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](../includes/fine-tune.md.md)]
+[!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 
 > [!NOTE]
 > As with all applications, we require a review process prior to going live.
@@ -346,7 +346,7 @@ When you're done with your customized model, you can delete the deployment and m
 
 ### Delete your model deployment
 
-[!INCLUDE [Fine-tuning deletion](../includes/fine-tune.md.md)]
+[!INCLUDE [Fine-tuning deletion](fine-tune.md.md)]
 
 You can use various methods to delete the deployment for your customized model:
 

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

@@ -245,7 +245,7 @@ print(f'Found {len((r.json())["data"])} fine-tune jobs.')
 
 When the fine-tune job has succeeded, the value of `fine_tuned_model` in the response body of the `FineTune.retrieve()` method is set to the name of your customized model. Your model is now also available for discovery from the [list Models API](/rest/api/cognitiveservices/azureopenaistable/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](../includes/fine-tune.md.md)]
+[!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 
 > [!NOTE]
 > As with all applications, we require a review process prior to going live.
@@ -382,7 +382,7 @@ When you're done with your customized model, you can delete the deployment and m
 
 ### Delete your model deployment
 
-[!INCLUDE [Fine-tuning deletion](../includes/fine-tune.md.md)]
+[!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 
 You can use various methods to delete the deployment for your customized model:
 

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

@@ -241,7 +241,7 @@ From the model page, you can also select **Download training file** to download
 
 When the fine-tune job has succeeded, you can deploy the customized model from the **Models** pane. You must deploy your customized model to make it available for use with completion calls.
 
-[!INCLUDE [Fine-tuning deletion](../includes/fine-tune.md.md)]
+[!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 
 > [!NOTE]
 > Only one deployment is permitted for a customized model. An error message is displayed if you select an already-deployed customized model.
@@ -289,7 +289,7 @@ When you're done with your customized model, you can delete the deployment and m
 
 ### Delete your model deployment
 
-[!INCLUDE [Fine-tuning deletion](../includes/fine-tune.md.md)]
+[!INCLUDE [Fine-tuning deletion](fine-tune.md)]
 
 You can delete the deployment for your customized model from the **Deployments** page for Azure OpenAI Studio. Select the deployment to delete, and then select **Delete** to delete the deployment.