Interesting, I wasn't aware of the possibilities you outline there at the end, where you, like, programmatically pull all the results down for all the tasks. Neat!

A more complex version of this which I'm trying to figure out:

I trained a model using TaskA. I need to now pull that model down from the saved artifacts of TaskA and fine-tune it in TaskB That finetuning in TaskB spits out a metric.
Is there a way to do this all elegantly? Currently my process is to manually download the models from the UI, then manually upload them to S3, then manually pull them down from S3 and then start the code to finetune TaskB