MLOPS: making AI stable

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HELLOOOO again, making AI stable, kinda confusing i know, but let me help u get the back-story to explain why i said that, lets say u made a movie recommendation system which recommends movies as per your taste, noww this is  a very strict linear condition which rarely helps in real life, real life is chaotic dynamic, and unstable, with lot of variables and scaling happening around uuuuu.

Soo comes MLOPS in image, mlops means machine learning operations, which deals with basically making AI practical in real world!, 

butttt

what is done in MLOPS???

NOW A boring definition  of a ML enginner by the dictator/google "someone who designs builds and productionizes  ML models to solve business challenges"

DESIGN IMPLEMENT AND DEPLOY the 3 idiots of MLOPS



tools and processes used in MLE



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