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Term boost: "red velvet"^4, chocolate^2
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Unanswered
How Do People Generally Handle Moving From Experimental Mode With Notebooks And Then Running Pipelines For Production Training And Beyond?


Well in general there is no one answer. I can talk about it for days. In ClearML the question is really a non issue since of you build a pipeline from notebooks on your dev in r&d it is automatically converted to python scripts inside containers. Where shall we begin? Maybe you describe your typical workload and intended deployment with latency constraints?

  
  
Posted 3 years ago
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