fix links

Author: lgayhardt

articles/ai-studio/.openpublishing.redirection.ai-studio.json

@@ -126,8 +126,8 @@
             "redirect_document_id": true
         },
         {
-            "source_path": "articles/ai-studio/how-to/develop/evaluate-flow-results.md",
-            "redirect_url": "/azure/ai-studio/how-to/develop/evaluate-results",
+            "source_path": "articles/ai-studio/how-to/evaluate-flow-results.md",
+            "redirect_url": "/azure/ai-studio/how-to/evaluate-results",
             "redirect_document_id": true
         }
     ]

articles/ai-studio/concepts/evaluation-approach-gen-ai.md

@@ -101,5 +101,5 @@ After assessing your applications, flows, or data from any of these channels, yo
 
 - [Evaluate your generative AI apps via the playground](../how-to/evaluate-prompts-playground.md)
 - [Evaluate your generative AI apps with the Azure AI Studio or SDK](../how-to/evaluate-generative-ai-app.md)
-- [View the evaluation results](../how-to/evaluate-flow-results.md)
+- [View the evaluation results](../how-to/evaluate-results.md)
 - [Transparency Note for Azure AI Studio safety evaluations](safety-evaluations-transparency-note.md)

articles/ai-studio/concepts/evaluation-improvement-strategies.md

@@ -139,4 +139,4 @@ We recommend implementing the following user-centered design and user experience
 
 - [Evaluate your generative AI apps via the playground](../how-to/evaluate-prompts-playground.md)
 - [Evaluate your generative AI apps with the Azure AI Studio or SDK](../how-to/evaluate-generative-ai-app.md)
-- [View the evaluation results](../how-to/evaluate-flow-results.md)
+- [View the evaluation results](../how-to/evaluate-results.md)

articles/ai-studio/concepts/evaluation-metrics-built-in.md

@@ -109,7 +109,7 @@ The risk and safety metrics draw on insights gained from our previous Large Lang
 - Direct attack jailbreak
 - Protected material content
 
-You can measure these risk and safety metrics on your own data or test dataset through redteaming or on a synthetic test dataset generated by [our adversarial simulator](../how-to/develop/simulator-interaction-data.md). This will output an annotated test dataset with content risk severity levels (very low, low, medium, or high) and [view your results in Azure AI ](../how-to/evaluate-flow-results.md), which provide you with overall defect rate across whole test dataset and instance view of each content risk label and reasoning.
+You can measure these risk and safety metrics on your own data or test dataset through redteaming or on a synthetic test dataset generated by [our adversarial simulator](../how-to/develop/simulator-interaction-data.md). This will output an annotated test dataset with content risk severity levels (very low, low, medium, or high) and [view your results in Azure AI ](../how-to/evaluate-results.md), which provide you with overall defect rate across whole test dataset and instance view of each content risk label and reasoning.
 
 ### Evaluating jailbreak vulnerability
 
@@ -576,7 +576,7 @@ This rating value should always be an integer between 1 and 5. So the rating pro
 ## Next steps
 
 - [Evaluate your generative AI apps via the playground](../how-to/evaluate-prompts-playground.md)
-- [Evaluate with the Azure AI evaluate SDK](../how-to/evaluate-sdk.md)
+- [Evaluate with the Azure AI evaluate SDK](../how-to/develop/evaluate-sdk.md)
 - [Evaluate your generative AI apps with the Azure AI Studio](../how-to/evaluate-generative-ai-app.md)
-- [View the evaluation results](../how-to/evaluate-flow-results.md)
+- [View the evaluation results](../how-to/evaluate-results.md)
 - [Transparency Note for Azure AI Studio safety evaluations](safety-evaluations-transparency-note.md)

articles/ai-studio/how-to/develop/evaluate-sdk.md

@@ -466,6 +466,6 @@ result = evaluate(
 - [Azure Python reference documentation](https://aka.ms/azureaieval-python-ref)
 - [Learn more about the evaluation metrics](../../concepts/evaluation-metrics-built-in.md)
 - [Learn more about simulating test datasets for evaluation](./simulator-interaction-data.md)
-- [View your evaluation results in Azure AI Studio](../../how-to/evaluate-flow-results.md)
+- [View your evaluation results in Azure AI Studio](../../how-to/evaluate-results.md)
 - [Get started building a chat app using the Azure AI SDK](../../quickstarts/get-started-code.md)
 - [Get started with evaluation samples](https://aka.ms/aistudio/eval-samples)

articles/ai-studio/how-to/evaluate-generative-ai-app.md

@@ -181,6 +181,6 @@ You can select the evaluator name to see more details. You can see the name, des
 Learn more about how to evaluate your generative AI applications:
 
 - [Evaluate your generative AI apps via the playground](./evaluate-prompts-playground.md)
-- [View the evaluation results](./evaluate-flow-results.md)
+- [View the evaluation results](./evaluate-results.md)
 - Learn more about [harm mitigation techniques](../concepts/evaluation-improvement-strategies.md).
 - [Transparency Note for Azure AI Studio safety evaluations](../concepts/safety-evaluations-transparency-note.md).

articles/ai-studio/how-to/evaluate-prompts-playground.md

@@ -81,6 +81,6 @@ You can also compare the thumbs up and down ratings across your different manual
 
 Learn more about how to evaluate your generative AI applications:
 - [Evaluate your generative AI apps with the Azure AI Studio or SDK](./evaluate-generative-ai-app.md)
-- [View the evaluation results](./evaluate-flow-results.md)
+- [View the evaluation results](./evaluate-results.md)
 
 Learn more about [harm mitigation techniques](../concepts/evaluation-improvement-strategies.md).

articles/ai-studio/tutorials/copilot-sdk-evaluate-deploy.md

@@ -144,7 +144,7 @@ You can also look at the individual rows and see metric scores per row, and view
 
 :::image type="content" source="../media/tutorials/develop-rag-copilot-sdk/eval-studio-rows.png" alt-text="Screenshot shows rows of evaluation results in Azure AI Studio.":::
 
-For more information about evaluation results in AI Studio, see [How to view evaluation results in AI Studio](../how-to/evaluate-flow-results.md).
+For more information about evaluation results in AI Studio, see [How to view evaluation results in AI Studio](../how-to/evaluate-results.md).
 
 Now that you verified your chat app behaves as expected, you're ready to deploy your application.