Machine Learning Is Progressing So Fast That You Shouldn't Attempt to Optimize It to the Last Drop

I'm not sure these larger organizations are always aware that that's what they're doing and I'm also not really sure whether or not some MLOps some tools not necessarily MLOps but in general like some tools try to cater to those at the expense of actually not actually solving the problem. So it's to me should be understood that it's a research area research areas change you should not attempt to optimize them to the last drop because then you will just pay even more in the long term much more than if you just kept things agile.

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