update

Author: mrbullwinkle

articles/ai-services/openai/how-to/evaluations.md

@@ -94,7 +94,7 @@ As part of creating evaluations you'll pick which models to use when generating
 
 In Azure OpenAI you'll be assigning specific model deployments to use as part of your evaluations. You can compare multiple model deployments in single evaluation run.
 
-You can evaluate either a base or a fine-tuned model deployments. The deployments available in your list depend on those you created within your Azure OpenAI resource. If you can't find the desired deployment, you can create a new one from the Azure OpenAI Evaluation page.
+You can evaluate either base or fine-tuned model deployments. The deployments available in your list depend on those you created within your Azure OpenAI resource. If you can't find the desired deployment, you can create a new one from the Azure OpenAI Evaluation page.
 
 ### Testing criteria
 
@@ -109,7 +109,7 @@ Testing criteria is used to assess the effectiveness of each output generated by
 
     :::image type="content" source="../media/how-to/evaluations/new-evaluation.png" alt-text="Screenshot of the Azure OpenAI evaluation UX with new evaluation selected." lightbox="../media/how-to/evaluations/new-evaluation.png":::
 
-3. Enter a name of your evaluation. By default a random name is automatically generated unless you edit and replace it. > select **Upload new dataset**.
+3. Enter a name of your evaluation. By default a random name is automatically generated unless you edit and replace it. Select **Upload new dataset**.
 
     :::image type="content" source="../media/how-to/evaluations/upload.png" alt-text="Screenshot of the Azure OpenAI upload UX." lightbox="../media/how-to/evaluations/upload.png":::