Update fine-tuning-rest.md

Author: mrbullwinkle

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

@@ -246,7 +246,7 @@ The only limitations are that the new region must also support fine-tuning and w
 Below is an example of deploying a model that was fine-tuned in one subscription/region to another.
 
 ```bash
-url -X POST "https://management.azure.com/subscriptions/<SUBSCRIPTION>/resourceGroups/<RESOURCE_GROUP>/providers/Microsoft.CognitiveServices/accounts/<RESOURCE_NAME>/deployments/<MODEL_DEPLOYMENT_NAME>api-version=2023-05-01" \
+curl -X POST "https://management.azure.com/subscriptions/<SUBSCRIPTION>/resourceGroups/<RESOURCE_GROUP>/providers/Microsoft.CognitiveServices/accounts/<RESOURCE_NAME>/deployments/<MODEL_DEPLOYMENT_NAME>api-version=2023-05-01" \
   -H "Authorization: Bearer <TOKEN>" \
   -H "Content-Type: application/json" \
   -d '{
@@ -380,4 +380,4 @@ curl -X POST $AZURE_OPENAI_ENDPOINT/openai/fine_tuning/jobs?api-version=2023-12-
 
 We also recommend including the `suffix` parameter to make it easier to distinguish between different iterations of your fine-tuned model. `suffix` takes a string, and is set to identify the fine-tuned model. The suffix can contain up to 40 characters (a-z, A-Z, 0-9,- and _) that will be added to your fine-tuned model name.
 
-If you're unsure of the ID of your fine-tuned model this information can be found in the **Models** page of Azure OpenAI Studio, or you can generate a [list of models](/rest/api/azureopenai/models/list?view=rest-azureopenai-2023-12-01-preview&tabs=HTTP&preserve-view=true) for a given Azure OpenAI resource using the REST API.
+If you're unsure of the ID of your fine-tuned model this information can be found in the **Models** page of Azure OpenAI Studio, or you can generate a [list of models](/rest/api/azureopenai/models/list?view=rest-azureopenai-2023-12-01-preview&tabs=HTTP&preserve-view=true) for a given Azure OpenAI resource using the REST API.