#productionml β Public Fediverse posts
Live and recent posts from across the Fediverse tagged #productionml, aggregated by home.social.
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The tools we have today are better than the ones we had before and this is especially true in the #mlops world. We have more options than ever before (cc: MAD Turck Landscape) but confusion is just as high as it ever was.
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ππ» Online Inference =/= Streaming
We're all aware of this right? That they're not the same thing?
#mlops #mlengineering #datascience #dataengineering #productionml #mlsystems #systemdesign
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π³ My talk proposal to the #mlops track was accepted to #DataCouncilAustin 2023 π€―
π What an exciting way to start the year! π
Looking forward to connecting with folks in Austin from March 28-30th on #mlops #productionml #mlengineering #productiondatascience #DataCouncilAustin2023 #datacouncil
Please feel free to connect with me on LI if you're attending or presenting!
https://www.linkedin.com/in/mikikobazeley/ -
ββ What is the difference between Model-Centric AI vs Data-Centric AI ββ
By analogy:
ππ» #ModelCentricAI β‘οΈ The workout matters ππ»ββοΈ
ππ» #DataCentricAI: β‘οΈ The diet matters π₯So the difference between Model-Centric AI and Data-Centric AI is like optimizing on the workout (types of lifts, cardio, reps & intensity, etc) versus optimizing the diet (caloric intake, macros, timing, etc).