A . I just wait and go out for a cup of coffee B . I try to change the code or other stuff to accelerate the process C . I look for more powerfull computing resources Some context here. I’m from High Performance Computing (HPC) area and I’ve published a book to teach data scientists and engineers how to accelerate the model training process. As we are living the AI boom, I tought to myself: “this book is gonna be a home run!”. Well, I was way off :( Considering my huge expectation, the book was a total failure! After talking to a couple of coleagues, some of them said that the most part of data scientists usually not “waste” their time trying to identify and overcome performance issues. They just wait or look for powerful machines, devices, and so forth. So, I’m curious about this question. submitted by /u/Various_Protection71
Originally posted by u/Various_Protection71 on r/ArtificialInteligence