edits

Author: lgayhardt

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

@@ -122,7 +122,7 @@
         },
         {
             "source_path": "articles/ai-studio/how-to/develop/flow-evaluate-sdk.md",
-            "redirect_url": "/azure/ai-studio/how-to/develop/evaluate-sdk.md",
+            "redirect_url": "/azure/ai-studio/how-to/develop/evaluate-sdk",
             "redirect_document_id": true
         }
     ]

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

@@ -38,10 +38,10 @@ For more in-depth information on each evaluator definition and how it's calculat
 
 | Category  | Evaluator class                                                                                                                    |
 |-----------|------------------------------------------------------------------------------------------------------------------------------------|
-| [Performance and quality](###Performance-and-quality-evaluators) (AI-assisted)  | `GroundednessEvaluator`, `RelevanceEvaluator`, `CoherenceEvaluator`, `FluencyEvaluator`, `SimilarityEvaluator` |
-| [Performance and quality](###Performance-and-quality-evaluators) (traditional ML)  | `F1ScoreEvaluator`, `RougeScoreEvaluator`, `GleuScoreEvaluator`, `BleuScoreEvaluator`, `MeteorScoreEvaluator`|
-| [Risk and safety](###Risk-and-safety-evaluators ) (AI-assisted)    | `ViolenceEvaluator`, `SexualEvaluator`, `SelfHarmEvaluator`, `HateUnfairnessEvaluator`, `IndirectAttackEvaluator`, `ProtectedMaterialEvaluator`                                             |
-| [Composite](###Composite-evaluators) | `QAEvaluator`, `ContentSafetyEvaluator`                                             |
+| [Performance and quality](#performance-and-quality-evaluators) (AI-assisted)  | `GroundednessEvaluator`, `RelevanceEvaluator`, `CoherenceEvaluator`, `FluencyEvaluator`, `SimilarityEvaluator` |
+| [Performance and quality](#performance-and-quality-evaluators) (traditional ML)  | `F1ScoreEvaluator`, `RougeScoreEvaluator`, `GleuScoreEvaluator`, `BleuScoreEvaluator`, `MeteorScoreEvaluator`|
+| [Risk and safety](#risk-and-safety-evaluators ) (AI-assisted)    | `ViolenceEvaluator`, `SexualEvaluator`, `SelfHarmEvaluator`, `HateUnfairnessEvaluator`, `IndirectAttackEvaluator`, `ProtectedMaterialEvaluator`                                             |
+| [Composite](#composite-evaluators) | `QAEvaluator`, `ContentSafetyEvaluator`                                             |
 
 Built-in quality and safety metrics take in query and response pairs, along with additional information for specific evaluators. 
 
@@ -161,11 +161,11 @@ You can do this with functionality and attack datasets generated with the [direc
 
 ### Composite evaluators 
 Composite evaluators are built in evaluators that combine the individual quality or safety metrics to easily provide a wide range of metrics right out of the box for both query response pairs or chat messages.
-| Composite evaluator          | Contains                                                                                                                           | Description                                                                                                                                                                                                                                                                                                                                                                                                         |
-|------------------------------|------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| `QAEvaluator`                | `GroundednessEvaluator`, `RelevanceEvaluator`, `CoherenceEvaluator`, `FluencyEvaluator`, `SimilarityEvaluator`, `F1ScoreEvaluator` | Combines all the quality evaluators for a single output of combined metrics for query and response pairs      |                                                                                                                      
-| `ContentSafetyEvaluator`     | `ViolenceEvaluator`, `SexualEvaluator`, `SelfHarmEvaluator`, `HateUnfairnessEvaluator`                                             | Combines all the safety evaluators for a single output of combined metrics for query and response pairs                                                                                                                                                                                                                                                                                                            |
 
+| Composite evaluator | Contains | Description |
+|--|--|--|
+| `QAEvaluator` | `GroundednessEvaluator`, `RelevanceEvaluator`, `CoherenceEvaluator`, `FluencyEvaluator`, `SimilarityEvaluator`, `F1ScoreEvaluator` | Combines all the quality evaluators for a single output of combined metrics for query and response pairs |
+| `ContentSafetyEvaluator` | `ViolenceEvaluator`, `SexualEvaluator`, `SelfHarmEvaluator`, `HateUnfairnessEvaluator` | Combines all the safety evaluators for a single output of combined metrics for query and response pairs |
 
 ## Custom evaluators
 
@@ -386,7 +386,7 @@ The `evaluate()` API has a few requirements for the data format that it accepts
 
 #### Data format
 
-The `evaluate()` API only accepts data in the JSONLines format. For all built-in evaluators, `evaluate()` requires data in the following format with required input fields. See the [previous section on required data input for built-in evaluators](###data-requirements-for-built-in-evaluators).
+The `evaluate()` API only accepts data in the JSONLines format. For all built-in evaluators, `evaluate()` requires data in the following format with required input fields. See the [previous section on required data input for built-in evaluators](#data-requirements-for-built-in-evaluators).
 
 ```json
 {

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

@@ -163,7 +163,7 @@ From the flow page: From the collapsible left menu, select **Prompt flow** > **E
 The evaluator library is a centralized place that allows you to see the details and status of your evaluators. You can view and manage Microsoft curated evaluators.
 
 > [!TIP]
-> You can use custom evaluators via the prompt flow SDK. For more information, see [Evaluate with the prompt flow SDK](../how-to/develop/flow-evaluate-sdk.md#custom-evaluators).
+> You can use custom evaluators via the prompt flow SDK. For more information, see [Evaluate with the prompt flow SDK](../how-to/develop/evaluate-sdk.md#custom-evaluators).
  
 The evaluator library also enables version management. You can compare different versions of your work, restore previous versions if needed, and collaborate with others more easily. 
 
@@ -172,7 +172,7 @@ To use the evaluator library in AI Studio, go to your project's **Evaluation** p
 :::image type="content" source="../media/evaluations/evaluate/evaluator-library-list.png" alt-text="Screenshot of the page to select evaluators from the evaluator library." lightbox="../media/evaluations/evaluate/evaluator-library-list.png":::
 
 You can select the evaluator name to see more details. You can see the name, description, and parameters, and check any files associated with the evaluator. Here are some examples of Microsoft curated evaluators:
-- For performance and quality evaluators curated by Microsoft, you can view the annotation prompt on the details page. You can adapt these prompts to your own use case by changing the parameters or criteria according to your data and objectives [with the prompt flow SDK](../how-to/develop/flow-evaluate-sdk.md#custom-evaluators). For example, you can select *Groundedness-Evaluator* and check the Prompty file showing how we calculate the metric.
+- For performance and quality evaluators curated by Microsoft, you can view the annotation prompt on the details page. You can adapt these prompts to your own use case by changing the parameters or criteria according to your data and objectives [with the prompt flow SDK](../how-to/develop/evaluate-sdk.md#custom-evaluators). For example, you can select *Groundedness-Evaluator* and check the Prompty file showing how we calculate the metric.
 - For risk and safety evaluators curated by Microsoft, you can see the definition of the metrics. For example, you can select the *Self-Harm-Related-Content-Evaluator* and learn what it means and how Microsoft determines the various severity levels for this safety metric
 
 

articles/ai-studio/quickstarts/get-started-code.md

@@ -271,7 +271,7 @@ You should see an output that looks like this:
 
 Looks like we scored 5 for coherence and fluency of the LLM responses on this conversation! 
 
-For more information on how to use prompt flow evaluators, including how to make your own custom evaluators and log evaluation results to AI Studio, be sure to check out [Evaluate your app using the prompt flow SDK](../how-to/develop/flow-evaluate-sdk.md).
+For more information on how to use prompt flow evaluators, including how to make your own custom evaluators and log evaluation results to AI Studio, be sure to check out [Evaluate your app using the prompt flow SDK](../how-to/develop/evaluate-sdk.md).
 
 
 ## Next step

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

@@ -99,7 +99,7 @@ The main function at the end allows you to view the evaluation result locally, a
     python evaluate.py
     ```
 
-For more information about using the prompt flow SDK for evaluation, see [Evaluate with the prompt flow SDK](../how-to/develop/flow-evaluate-sdk.md).
+For more information about using the prompt flow SDK for evaluation, see [Evaluate with the prompt flow SDK](../how-to/develop/evaluate-sdk.md).
 
 ### Interpret the evaluation output