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2023-01-24 11:43:07 +02:00
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docs/getting_started/video_tutorials/pipelines_from_tasks.md
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@@ -17,9 +17,7 @@ keywords: [mlops, components, automation, orchestration, pipeline]
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<details className="cml-expansion-panel info">
<summary className="cml-expansion-panel-summary">Read the transcript</summary>
<div className="cml-expansion-panel-content">
### Video Transcript
Hello and welcome to ClearML. In this video we’ll take a look at how pipelines can be created from tasks instead of from code like we saw in the last video.
@@ -59,8 +57,6 @@ Now we can do all the same things that we could with a pipeline built from code.
When we select a specific step, we can see its inputs and outputs as well as its logs down here and even the original code.
Finally, we can also clone the whole pipeline and change its parameters by clicking on the new run button. This is the most powerful feature of all, as it allows us to really quickly rerun the whole pipeline with different parameters from the UI. The agents will take care of the rest!
Finally, we can also clone the whole pipeline and change its parameters by clicking on the **+ New Run** button. This is the most powerful feature of all, as it allows us to really quickly rerun the whole pipeline with different parameters from the UI. The agents will take care of the rest!
In the next video of this Getting Started series, we’ll take a look at ClearML Data, for real this time. In the meantime, spin up some pipeline controllers yourself for free at app.clear.ml and don’t forget to join our Slack channel, if you need any help.
</div>
</details>
In the next video of this Getting Started series, we’ll take a look at ClearML Data, for real this time. In the meantime, spin up some pipeline controllers yourself for free at [app.clear.ml](https://app.clear.ml) and don’t forget to join our [Slack Channel](https://join.slack.com/t/clearml/shared_invite/zt-1kvcxu5hf-SRH_rmmHdLL7l2WadRJTQg), if you need any help.