Clarify vision support. Fix disclaimer for Global & PTUM.

Author: voutilad

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

@@ -378,7 +378,7 @@ Azure OpenAI fine-tuning supports the following deployment types.
 
 :::image type="content" source="../media/fine-tuning/global-standard.png" alt-text="Screenshot of the global standard deployment user experience with a fine-tuned model." lightbox="../media/fine-tuning/global-standard.png":::
 
-Global Standard fine-tuning deployments currently do not support vision and structured outputs.
+Global Standard fine-tuned deployments currently support structured outputs only on GPT-4o.
 
 ### Provisioned Managed (preview)
 
@@ -392,7 +392,7 @@ Global Standard fine-tuning deployments currently do not support vision and stru
 
 [Provisioned managed](./deployment-types.md#provisioned) fine-tuned deployments offer [predictable performance](../concepts/provisioned-throughput.md#what-do-the-provisioned-deployment-types-provide) for fine-tuned deployments. As part of public preview, provisioned managed deployments may be created regionally via the data-plane [REST API](../reference.md#data-plane-inference) version `2024-10-01` or newer. See below for examples.
 
-Provisioned Managed fine-tuning deployments currently do not support vision and structured outputs.
+Provisioned Managed fine-tuned deployments currently support structured outputs only on GPT-4o.
 
 #### Creating a Provisioned Managed deployment
 

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

@@ -16,6 +16,10 @@ ms.author: mbullwin
 
 Fine-tuning is also possible with images in your JSONL files. Just as you can send one or many image inputs to chat completions, you can include those same message types within your training data. Images can be provided either as publicly accessible URLs or data URIs containing [base64 encoded images](/azure/ai-services/openai/how-to/gpt-with-vision?tabs=rest#call-the-chat-completion-apis). 
 
+## Model support
+
+Vision fine-tuning is supported for `gpt-4o` version `2024-08-06` models only.
+
 ## Image dataset requirements
 
 - Your training file can contain a maximum of 50,000 examples that contain images (not including text examples).