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articles/ai-services/document-intelligence/concept-custom-label-tips.md

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@@ -35,9 +35,9 @@ This article highlights the best methods for labeling custom model datasets in t
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* The following video is the second of two presentations intended to help you build custom models with higher accuracy (the first presentation explores [How to create a balanced data set](concept-custom-label.md#video-custom-label-tips-and-pointers)).
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* Here, we examine best practices for labeling your selected documents. With semantically relevant and consistent labeling, you should see an improvement in model performance.</br></br>
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* Here, we examine best practices for labeling your selected documents. With semantically relevant and consistent labeling, you should see an improvement in model performance.
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[!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5fZKB]
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> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5fZKB]
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## Search
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articles/ai-services/document-intelligence/concept-custom-label.md

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* The following video is the first of two presentations intended to help you build custom models with higher accuracy (The second presentation examines [Best practices for labeling documents](concept-custom-label-tips.md#video-custom-labels-best-practices)).
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* Here, we explore how to create a balanced data set and select the right documents to label. This process sets you on the path to higher quality models.</br></br>
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* Here, we explore how to create a balanced data set and select the right documents to label. This process sets you on the path to higher quality models.
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[!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RWWHru]
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> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RWWHru]
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## Create a balanced dataset
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articles/ai-services/document-intelligence/how-to-guides/build-a-custom-model.md

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## Video: Train your custom model
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* Once you've gathered and uploaded your training dataset, you're ready to train your custom model. In the following video, we create a project and explore some of the fundamentals for successfully labeling and training a model.</br></br>
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* Once you've gathered and uploaded your training dataset, you're ready to train your custom model. In the following video, we create a project and explore some of the fundamentals for successfully labeling and training a model.
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[!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5fX1c]
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> [!VIDEO https://www.microsoft.com/en-us/videoplayer/embed/RE5fX1c]
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## Create a project in the Document Intelligence Studio
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