I've read a reasonable amount about this and listened to a bit of the podcasts they've done.
It feels a bit too early to tell. I don't believe many researchers will switch to Swift though.
It feels a bit too early to tell. I don't believe many researchers will switch to Swift though.
As it is the API for FastAI is constantly changing and has hardly ever felt particularly stable. I don't see it ending up becoming this complete, stable, polished framework if they keep switching focus. I don't care one way or the other as I don't personally use it because it is way too complex to extend it to do anything simple if you just have your own networks and Dataset class that you want to plug into their infrastructure. Being familiar with Pytorch and Python, I've always found it much easier to just work with those 2 rather than trying to bend the fastai library to do things that don't fit perfectly into the applications they designed for.