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@@ -3,8 +3,8 @@ title: Best Practices
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---
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This section talks about what made us design ClearML the way we did and how it reflects on AI workflows.
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While ClearML was designed to fit into any workflow, we do feel that working as we describe below brings a lot of advantages from organizing one's workflow
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and furthermore, preparing it to scale in the long term.
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While ClearML was designed to fit into any workflow, the practices described below brings a lot of advantages from organizing one's workflow
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to preparing it to scale in the long term.
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:::important
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The below is only our opinion. ClearML was designed to fit into any workflow whether it conforms to our way or not!
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@@ -22,7 +22,7 @@ During early stages of model development, while code is still being modified hea
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the model and ensure that you choose a model that makes sense, and the training procedure works. Can be used to provide initial models for testing.
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The abovementioned setups might be folded into each other and that's great! If you have a GPU machine for each researcher, that's awesome!
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The goal of this phase is to get a code, dataset, and environment setup, so you can start digging to find the best model!
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The goal of this phase is to get a code, dataset, and environment set up, so you can start digging to find the best model!
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- [ClearML SDK](../../clearml_sdk/clearml_sdk.md) should be integrated into your code (check out [Getting Started](ds_first_steps.md)).
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This helps visualizing the results and tracking progress.
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@@ -133,6 +133,6 @@ Sit back, relax, and watch your models converge :) or continue to see what else
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## YouTube Playlist
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Or watch the Getting Started Playlist on ClearML's YouTube Channel!
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Or watch the **Getting Started** playlist on ClearML's YouTube Channel!
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[](https://www.youtube.com/watch?v=bjWwZAzDxTY&list=PLMdIlCuMqSTnoC45ME5_JnsJX0zWqDdlO&index=2)
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