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Fix artifact control plane vs model control plane GIF links in docs #3508

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Fix artifact control plane vs model control plane GIF links in docs #3508

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Binary file removed docs/book/.gitbook/assets/mcp_walkthrough.gif
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2 changes: 1 addition & 1 deletion docs/book/getting-started/zenml-pro/README.md
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Expand Up @@ -22,7 +22,7 @@ layout:

The [Pro version of ZenML](https://zenml.io/pro) extends the Open Source product with advanced features for enterprise-grade MLOps.

![Walkthrough of ZenML Model Control Plane](../../.gitbook/assets/mcp_walkthrough.gif)
![Walkthrough of ZenML Model Control Plane](../../.gitbook/assets/mcp-walkthrough.gif)

## Key Features

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2 changes: 1 addition & 1 deletion docs/book/how-to/model-management-metrics/model-control-plane/README.md
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# Use the Model Control Plane

![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../../.gitbook/assets/mcp_walkthrough.gif)
![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../../.gitbook/assets/mcp-walkthrough.gif)

A `Model` is simply an entity that groups pipelines, artifacts, metadata, and other crucial business data into a unified entity. A ZenML Model is a concept that more broadly encapsulates your ML products business logic. You may even think of a ZenML Model as a "project" or a "workspace"

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2 changes: 1 addition & 1 deletion docs/book/user-guide/starter-guide/manage-artifacts.md
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Expand Up @@ -6,7 +6,7 @@ description: Understand and adjust how ZenML versions your data.

Data sits at the heart of every machine learning workflow. Managing and versioning this data correctly is essential for reproducibility and traceability within your ML pipelines. ZenML takes a proactive approach to data versioning, ensuring that every artifact—be it data, models, or evaluations—is automatically tracked and versioned upon pipeline execution.

![Walkthrough of ZenML Artifact Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/dcp\_walkthrough.gif)
![Walkthrough of ZenML Artifact Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/dcp_walkthrough.gif)

This guide will delve into artifact versioning and management, showing you how to efficiently name, organize, and utilize your data with the ZenML framework.

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2 changes: 1 addition & 1 deletion docs/book/user-guide/starter-guide/track-ml-models.md
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Expand Up @@ -4,7 +4,7 @@ description: Creating a full picture of a ML model using the Model Control Plane

# Track ML models

![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/mcp_walkthrough.gif)
![Walkthrough of ZenML Model Control Plane (Dashboard available only on ZenML Pro)](../../.gitbook/assets/mcp-walkthrough.gif)

As discussed in the [Core Concepts](https://docs.zenml.io/getting-started/core-concepts), ZenML also contains the notion of a `Model`, which consists of many model versions (the iterations of the model). These concepts are exposed in the `Model Control Plane` (MCP for short).

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