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cdfoundation / sig-mlops

CDF SIG MLOps
https://cd.foundation
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MLOps definition - add examples for add't clarity #53

Closed epec254 closed 1 year ago

epec254 commented 1 year ago

I agree with the statement /The extension of the DevOps methodology to include Machine Learning and Data Science Assets and the interdependencies between those Assets as first class citizens within the DevOps ecology./ and the broad framing of this section :-)

I added some specific examples of "ML Assets" that I think could help increase the clarity of what is needed. I seeded a high level list of assets that I felt was representative enough to get the point across, but I would welcome feedback if there are additional assets worth calling out or if we should go to the next level of depth.

tdcox commented 1 year ago

Thanks. It’s not part of the remit of this document to define ML assets or techniques, since these very widely and change significantly over time. We are really looking for contributions that identify specific difficult challenges within the process of managing ML assets as part of a product lifecycle.

AlmogBaku commented 1 year ago

@tdcox to what part are you referring? Specifying the list of assets? That might refine the problem definition