Hey, everyone! I was wondering: what is the best approach to deal with persistent files on Flyte tasks/workflows? For instance, what if I train a model and I want to save this model on my Flyte server to be used every time a certain task is called, is it possible?
In this example on the User Guide, the data returned is a saved file, but will it be persistent? And can it have a human-friendly name, or will it be random letters and numbers, like how it is with DataFrames outputs?