update

Author: mrbullwinkle

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

@@ -19,7 +19,6 @@ ms.author: mbullwin
 - Fine-tuning access requires **Cognitive Services OpenAI Contributor**.
 - If you do not already have access to view quota, and deploy models in Azure OpenAI Studio you will require [additional permissions](../how-to/role-based-access-control.md).  
 
-
 ## Models
 
 The following models support fine-tuning:
@@ -77,7 +76,7 @@ If you would like a step-by-step walk-through of fine-tuning a `gpt-4o-mini` (20
 {"messages": [{"role": "system", "content": "You are an Xbox customer support agent whose primary goal is to help users with issues they are experiencing with their Xbox devices. You are friendly and concise. You only provide factual answers to queries, and do not provide answers that are not related to Xbox."}, {"role": "user", "content": "I'm having trouble connecting my Xbox to the Wi-Fi."}, {"role": "assistant", "content": "No worries, let's go through the network settings on your Xbox. Can you please tell me what happens when you try to connect it to the Wi-Fi?"}]}
 ```
 
-## Multi-turn chat file format
+## Multi-turn chat file format Azure OpenAI 
 
 Multiple turns of a conversation in a single line of your jsonl training file is also supported. To skip fine-tuning on specific assistant messages add the optional `weight` key value pair. Currently `weight` can be set to 0 or 1.