fix links

Author: lgayhardt

articles/ai-foundry/how-to/benchmark-model-in-catalog.md

@@ -7,7 +7,7 @@ ms.service: azure-ai-foundry
 ms.custom:
   - ai-learning-hub
 ms.topic: how-to
-ms.date: 04/07/2025
+ms.date: 05/19/2025
 ms.reviewer: changliu2
 reviewer: changliu2
 ms.author: lagayhar  
@@ -24,7 +24,6 @@ In this article, you learn to streamline your model selection process in the Azu
 - [Trade-off charts](#compare-models-in-the-trade-off-charts) to see how models perform on one metric versus another, such as quality versus cost;
 - [Leaderboards by scenario](#view-leaderboards-by-scenario) to find the best leaderboards that suite your scenario.
 
-
 ## Prerequisites
 
 - An Azure subscription with a valid payment method. Free or trial Azure subscriptions won't work. If you don't have an Azure subscription, create a [paid Azure account](https://azure.microsoft.com/pricing/purchase-options/pay-as-you-go) to begin.
@@ -109,7 +108,7 @@ To access benchmark results for a specific metric and dataset:
 The previous sections showed the benchmark results calculated by Microsoft, using public datasets. However, you can try to regenerate the same set of metrics with your data.
 
 1. Return to the **Benchmarks** tab in the model card.
-1. Select **Try with your own data** to [evaluate the model with your data](evaluate-generative-ai-app.md#model-and-prompt-evaluation). Evaluation on your data helps you see how the model performs in your particular scenarios.
+1. Select **Try with your own data** to [evaluate the model with your data](evaluate-generative-ai-app.md#fine-tuned-model-evaluation). Evaluation on your data helps you see how the model performs in your particular scenarios.
 
     :::image type="content" source="../media/how-to/model-benchmarks/try-with-your-own-data.png" alt-text="Screenshot showing the button to select for evaluating with your own data." lightbox="../media/how-to/model-benchmarks/try-with-your-own-data.png":::
 

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

@@ -200,5 +200,5 @@ 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-results.md)
-- [Creating evaluations specifically with OpenAI evaluation graders in Azure OpenAI Hub](../../ai-services/openai/how-to/evaluations)
+- [Creating evaluations specifically with OpenAI evaluation graders in Azure OpenAI Hub](../../ai-services/openai/how-to/evaluations.md)
 - [Transparency Note for Azure AI Foundry safety evaluations](../concepts/safety-evaluations-transparency-note.md).

articles/ai-foundry/how-to/evaluate-results.md

@@ -89,7 +89,7 @@ And here are some examples of the metrics results for the conversation scenario.
 
 When selecting “View evaluation results per turn”, you see the following screen:
 
-:::image type="content" source="../media/evaluations/view-results/png" alt-text="Screenshot of evaluation results per turn." lightbox="../media/evaluations/view-results/metric-per-turn.png":::
+:::image type="content" source="../media/evaluations/view-results/metric-per-turn.png" alt-text="Screenshot of evaluation results per turn." lightbox="../media/evaluations/view-results/metric-per-turn.png":::
 
 For a safety evaluation in a multi-modal scenario (text + images), you can review the images from both the input and output in the detailed metrics result table to better understand the evaluation result. Since multi-modal evaluation is currently supported only for conversation scenarios, you can select "View evaluation results per turn" to examine the input and output for each turn.  
 
@@ -165,6 +165,6 @@ Understanding the built-in metrics is vital for assessing the performance and ef
 Learn more about how to evaluate your generative AI applications:
 - [Evaluate your generative AI apps via the playground](../how-to/evaluate-prompts-playground.md)
 - [Evaluate your generative AI apps with the Azure AI Foundry portal or SDK](../how-to/evaluate-generative-ai-app.md)
-- [Creating evaluations specifically with OpenAI evaluation graders in Azure OpenAI Hub](../../ai-services/openai/how-to/evaluations)
+- [Creating evaluations specifically with OpenAI evaluation graders in Azure OpenAI Hub](../../ai-services/openai/how-to/evaluations.md)
 
 Learn more about [harm mitigation techniques](../concepts/evaluation-approach-gen-ai.md).

articles/ai-foundry/includes/fdp-backward-compatibility-azure-openai.md

@@ -23,4 +23,4 @@ ms.custom: include file
 >   - The storage needs to be added to the account (if it’s added to the project, you'll get service errors).
 >   - User needs to add their project to their storage account through access control in the Azure portal.
 >
-> To learn more about creating evaluations specifically with OpenAI evaluation graders in Azure OpenAI Hub, see [How to use Azure OpenAI Service evaluation](../../ai-services/openai/how-to/evaluations)
+> To learn more about creating evaluations specifically with OpenAI evaluation graders in Azure OpenAI Hub, see [How to use Azure OpenAI Service evaluation](../../ai-services/openai/how-to/evaluations.md)