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Merge pull request #276136 from eric-urban/eur/scrub-old-ui
scrub old UI
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articles/ai-studio/how-to/evaluate-flow-results.md

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If you're evaluating a prompt flow, you can select the **View in flow** button to navigate to the evaluated flow page to make update to your flow. For example, adding additional meta prompt instruction, or change some parameters and re-evaluate.
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:::image type="content" source="../media/evaluations/view-results/view-in-flow.png" alt-text="Screenshot of the evaluation flow diagram." lightbox="../media/evaluations/view-results/view-in-flow.png":::
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## Compare the evaluation results
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To facilitate a comprehensive comparison between two or more runs, you have the option to select the desired runs and initiate the process by selecting either the **Compare** button or, for a general detailed dashboard view, the **Switch to dashboard view** button. This feature empowers you to analyze and contrast the performance and outcomes of multiple runs, allowing for more informed decision-making and targeted improvements.

articles/ai-studio/how-to/prompt-flow-tools/python-tool.md

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Create a custom connection that stores all your large language model API key or other required credentials.
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1. Go to **Project settings**. Then select **New Connection**.
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1. Go to the **Settings** page for your project. Then select **+ New Connection**.
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1. Select **Custom** service. You can define your connection name. You can add multiple key-value pairs to store your credentials and keys by selecting **Add key-value pairs**.
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> [!NOTE]
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> Make sure at least one key-value pair is set as secret. Otherwise, the connection won't be created successfully. To set one key-value pair as secret, select **is secret** to encrypt and store your key value.
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:::image type="content" source="../../media/prompt-flow/create-connection.png" alt-text="Screenshot that shows creating a connection in AI Studio." lightbox = "../../media/prompt-flow/create-connection.png":::
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1. Add the following custom keys to the connection:
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- `azureml.flow.connection_type`: `Custom`
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- `azureml.flow.module`: `promptflow.connections`
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