Fix type, rename fine-tuning-test.md.

Author: voutilad

articles/ai-services/openai/how-to/deployment-types.md

@@ -156,7 +156,7 @@ You can use the following policy to disable access to any Azure OpenAI deploymen
 
 **SKU name in code:** `Developer`
 
-Fine-tuned models support a Developer deployment specifically designed to support custom model evaluation. It offers no data residency guarantees nor does it offer an SLA. To learn more about using the Developer deployment type, see the [fine-tuning guide](./fine-tuning-test.md).
+Fine-tuned models support a Developer deployment specifically designed to support custom model evaluation. It offers no data residency guarantees nor does it offer an SLA. To learn more about using the Developer deployment type, see the [fine-tuning guide](./fine-tune-test.md).
 
 ## Deploy models
 

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

@@ -13,7 +13,7 @@ ms.author: davevoutila
 
 # Deploy a fine-tuned model for testing (Preview)
 
-After you've fine-tuned a model, you may want to test its quality via the Chat Completions api or the [Evaluations](./evaluations.md) service.
+After you've fine-tuned a model, you may want to test its quality via the Chat Completions API or the [Evaluations](./evaluations.md) service.
 
 A Developer Tier deployment allows you to deploy your new model without the hourly hosting fee incurred by Standard or Global deployments. The only charges incurred are per-token. Consult the [pricing page](https://aka.ms/aoaipricing) for the most up-to-date pricing.
 

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

@@ -274,9 +274,9 @@ Look for your loss to decrease over time, and your accuracy to increase. If you
 
 ## Deploy a fine-tuned model
 
-Once you're satisified with the metrics from your fine-tuning job, or you just want to move onto inference, you must deploy the model.
+Once you're satisfied with the metrics from your fine-tuning job, or you just want to move onto inference, you must deploy the model.
 
-If you're deploying for further validation, consider deploying for [testing](../how-to/fine-tuning-test.md?tabs=python) using a Developer deployment.
+If you're deploying for further validation, consider deploying for [testing](../how-to/fine-tune-test.md?tabs=python) using a Developer deployment.
 
 If you're ready to deploy for production or have particular data residency needs, follow our [deployment guide](../how-to/fine-tuning-deploy.md?tabs=python).
 

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

@@ -223,9 +223,9 @@ Look for your loss to decrease over time, and your accuracy to increase. If you
 
 ## Deploy a fine-tuned model
 
-Once you're satisified with the metrics from your fine-tuning job, or you just want to move onto inference, you must deploy the model.
+Once you're satisfied with the metrics from your fine-tuning job, or you just want to move onto inference, you must deploy the model.
 
-If you're deploying for further validation, consider deploying for [testing](../how-to/fine-tuning-test.md?tabs=rest) using a Developer deployment.
+If you're deploying for further validation, consider deploying for [testing](../how-to/fine-tune-test.md?tabs=rest) using a Developer deployment.
 
 If you're ready to deploy for production or have particular data residency needs, follow our [deployment guide](../how-to/fine-tuning-deploy.md?tabs=rest).
 

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

@@ -213,7 +213,7 @@ Look for your loss to decrease over time, and your accuracy to increase. If you
 
 Once you're satisified with the metrics from your fine-tuning job, or you just want to move onto inference, you must deploy the model.
 
-If you're deploying for further validation, consider deploying for [testing](../how-to/fine-tuning-test.md?tabs=portal) using a Developer deployment.
+If you're deploying for further validation, consider deploying for [testing](../how-to/fine-tune-test.md?tabs=portal) using a Developer deployment.
 
 If you're ready to deploy for production or have particular data residency needs, follow our [deployment guide](../how-to/fine-tuning-deploy.md?tabs=portal).
 

articles/ai-services/openai/toc.yml

@@ -180,7 +180,7 @@ items:
         href: ./how-to/fine-tuning.md
         displayName: finetuning, fine-tuning
       - name: Deploy for testing
-        href: ./how-to/fine-tuning-test.md
+        href: ./how-to/fine-tune-test.md
         displayName: finetuning, fine-tuning
       - name: Deploy your fine-tuned model
         href: ./how-to/fine-tuning-deploy.md