Machine Learning, Software Development, Artificial Intelligence, Technology, Data Science.
this. It’s vital to hold time + hardware constant and get through your entire learning rate schedule. Plus, the difficulty of replicating claimed wins is something we’ve learned the hard way at MosaicML. For every speedup that makes it into a winning MLPerf submission, there’s at least one more