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Hi! This morning, I caught Ms. Coffee Bean watching the PDF of this paper entitled Using AntiPatterns to avoid MLOps Mistakes. Ms. Coffee Bean, what were you thinking? I guess you read it because you have little to no idea about machine learning in the real world. Haha, no wonder since you are in academia where all the work you do ends in a paper. But you know, there is life to machine learning methods even after they have been presented in a paper; life you would like to know more about. Okay, Ms. Coffee Bean, since I do not know what else to do with you, what about this: I found the data leakage antipattern the most interesting one, but the writeup was quite dense (since the paper is made for experts). Lets make it accessible to anyone by explaining this together! Alright, Ms. Coffee Bean! This paper is sharing lessons about MLOps, which is all about putting machine learning models into production, but also about maintaining the whole operation. However, the lessons of this paper