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@@ -12,7 +12,7 @@ The demo demonstrates two usages of GenAI:
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The demo contains two notebooks [notebook 1](./notebook_1_generation.ipynb) and [notebook 2](./notebook_2_analysis.ipynb).
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Most of the functions are imported from [MLRun's hub](https://https://www.mlrun.org/hub/), which contains a wide range of functions and modules that can be used for a variety of use cases. See also the [MLRun hub documentation](https://docs.mlrun.org/en/stable/runtimes/load-from-hub.html). All functions used in the demo include links to their source in the hub. All of the python source code is under [/src](./src).
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Most of the functions are imported from [MLRun's hub](https://www.mlrun.org/hub/), which contains a wide range of functions and modules that can be used for a variety of use cases. See also the [MLRun hub documentation](https://docs.mlrun.org/en/stable/runtimes/load-from-hub.html). All functions used in the demo include links to their source in the hub. All of the python source code is under [/src](./src).
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> **⚠️ Important This demo can take up to couple of hours to complete when running without GPUs.**
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@@ -132,4 +132,4 @@ Tokens are required to run the demo end-to-end:
-**Description**: View the data and features, as they are collected, in the MLRun UI. Deploy [Vizro](https://vizro.mckinsey.com/) to visualize the data in the DB.
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-**Description**: View the data and features, as they are collected, in the MLRun UI. Deploy [Vizro](https://vizro.mckinsey.com/) to visualize the data in the DB.
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