If you ever deployed a Machine Learning model to production, then you must have had some kind of standardized checklist of information and prerequisites you need for deployment…or you wished you had one. My experience is that most people tasked with deployment do the latter - wish for it…
So my team decided to run a very short survey about the requirements for ML model artifacts and metadata needed for deployment. Our goal is to produce a standardized checklist for successful deployment that will be distributed for free to everyone. No more wishing!
If you are one of those people who deploy machine learning regularly and wished you had such a checklist, then join our mission! We’ll really appreciate you taking 10 minutes to help us out and fill out this questionnaire
It will mean a lot if you also share the link with anyone you think can benefit and contribute to our goal. Thanks in advance! :)
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