acrolinx fixes

Author: mrbullwinkle

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

@@ -48,10 +48,10 @@ We use LoRA, or low rank approximation, to fine-tune models in a way that reduce
 
 Azure OpenAI fine-tuning supports [global standard deployments](./deployment-types.md#global-standard) in East US2, North Central US and Sweden Central for:
 
-- `gpt-4o` (2024-08-06)
-- `gpt-4o-mini` (2024-07-18)
+- `gpt-4o-2024-08-06`
+- `gpt-4o-mini-2024-07-18`
 
-Global standard fine-tuned deployments offers [cost savings](./https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/), but custom model weights may temporarily be stored outside the geography of your Azure OpenAI resource.
+Global standard fine-tuned deployments offer [cost savings](./https://azure.microsoft.com/pricing/details/cognitive-services/openai-service/), but custom model weights may temporarily be stored outside the geography of your Azure OpenAI resource.
 
 :::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":::