Add link to demo repo

Author: Johanna Hemminger

content/en/docs/refguide/modeling/application-logic/microflows-and-nanoflows/activities/ml-kit-activities/_index.md

@@ -12,4 +12,4 @@ The **ML Kit** section of the [Toolbox](/refguide/view-menu/#toolbox) contains a
 
 To get started with machine learning models, check out [Machine Learning Kit](/refguide/machine-learning-kit/) and [Using ML Kit](/refguide/machine-learning-kit/using-ml-kit/).
 
-{{% alert color="info" %}}Check out the Jupyter notebook examples in our [ML Kit Demo Apps](https://github.com/mendix/mlkit-demo-apps/tree/main/notebooks) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
+{{% alert color="info" %}}Check out a demo app and Jupyter notebook examples in our [Demo for Mendix ML Kit](https://github.com/mendix/mlkit-example-app) repository for further information on working with machine learning models in Mendix.{{% /alert %}}

content/en/docs/refguide/modeling/application-logic/microflows-and-nanoflows/activities/ml-kit-activities/call-ml-model.md

@@ -19,7 +19,7 @@ Use the **Call ML Model** [activity](/refguide/activities/) in a microflow to ca
 
 To get started with machine learning models, check out [Using ML Kit](/refguide/machine-learning-kit/using-ml-kit/).
 
-{{% alert color="info" %}}Check out the Jupyter notebook examples in our [ML Kit Demo Apps](https://github.com/mendix/mlkit-demo-apps/tree/main/notebooks) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
+{{% alert color="info" %}}Check out a demo app and Jupyter notebook examples in our [Demo for Mendix ML Kit](https://github.com/mendix/mlkit-example-app) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
 
 ## 2 Properties
 

content/en/docs/refguide/modeling/integration/machine-learning-kit/_index.md

@@ -12,7 +12,7 @@ tags: ["studio pro", "machine learning", "ml kit", "models", "integration"]
 
 Studio Pro [9.23](/releasenotes/studio-pro/9.23/) and above supports a unique approach to machine learning (ML) model integration in Mendix apps. Collectively called the *Machine Learning (ML) Kit*, this functionality allows Mendix developers to deploy a machine learning model built using common ML framework and language into the Mendix Runtime.
 
-{{% alert color="info" %}}Check out the Jupyter notebook examples in our [ML Kit Demo Apps](https://github.com/mendix/mlkit-demo-apps/tree/main/notebooks) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
+{{% alert color="info" %}}Check out a demo app and Jupyter notebook examples in our [Demo for Mendix ML Kit](https://github.com/mendix/mlkit-example-app) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
 
 ## 2 Under the Hood {#ml-kit-hood}
 

content/en/docs/refguide/modeling/integration/machine-learning-kit/design-patterns/_index.md

@@ -15,4 +15,4 @@ Design patterns are implementation patterns for machine learning models. The doc
 
 For detailed information on working with machine learning models in Studio Pro, see [Integrate Machine Learning Models](/refguide/machine-learning-kit/).
 
-{{% alert color="info" %}}Check out the Jupyter notebook examples in our [ML Kit Demo Apps](https://github.com/mendix/mlkit-demo-apps/tree/main/notebooks) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
+{{% alert color="info" %}}Check out a demo app and Jupyter notebook examples in our [Demo for Mendix ML Kit](https://github.com/mendix/mlkit-example-app) repository for further information on working with machine learning models in Mendix.{{% /alert %}}

content/en/docs/refguide/modeling/integration/machine-learning-kit/design-patterns/advanced-inference-patterns.md

@@ -19,7 +19,7 @@ This document explores four common advanced inference design patterns for machin
 * [Machine learning model as a service](#maas) patterns
 * [Batch inference](#batch-inference) patterns
 
-{{% alert color="info" %}}Check out the Jupyter notebook examples in our [ML Kit Demo Apps](https://github.com/mendix/mlkit-demo-apps/tree/main/notebooks) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
+{{% alert color="info" %}}Check out a demo app and Jupyter notebook examples in our [Demo for Mendix ML Kit](https://github.com/mendix/mlkit-example-app) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
 
 ### 1.1 Ensembles {#ensembles}
 

content/en/docs/refguide/modeling/integration/machine-learning-kit/design-patterns/pre-post-processor-patterns.md

@@ -21,7 +21,7 @@ This document explores four pre-processor and post-processor design patterns for
 * [ONNX operators](#onnx-operators)
 * [Hybrid activities](#complex-hybrid)
 
-{{% alert color="info" %}}Check out the Jupyter notebook examples in our [ML Kit Demo Apps](https://github.com/mendix/mlkit-demo-apps/tree/main/notebooks) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
+{{% alert color="info" %}}Check out a demo app and Jupyter notebook examples in our [Demo for Mendix ML Kit](https://github.com/mendix/mlkit-example-app) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
 
 ### 1.1 Pre-processors and Post-processors as Microflow Activities {#microflow-activities}
 

content/en/docs/refguide/modeling/integration/machine-learning-kit/using-ml-kit/_index.md

@@ -12,7 +12,7 @@ tags: ["studio pro", "machine learning", "ml kit", "models", "integration"]
 
 Studio Pro [9.23](/releasenotes/studio-pro/9.23/) and above supports machine learning (ML) model integration in Mendix apps. Collectively called the *Machine Learning (ML) Kit*, this functionality allows Mendix developers to deploy an ML model built using common ML framework and language into the Mendix Runtime.
 
-{{% alert color="info" %}}Check out the Jupyter notebook examples in our [ML Kit Demo Apps](https://github.com/mendix/mlkit-demo-apps/tree/main/notebooks) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
+{{% alert color="info" %}}Check out a demo app and Jupyter notebook examples in our [Demo for Mendix ML Kit](https://github.com/mendix/mlkit-example-app) repository for further information on working with machine learning models in Mendix.{{% /alert %}}
 
 ## 2 Usage {#usage}