The vast majority of our time was spent figuring out the model architecture and large-scale distributed training, and step 2 (starting now) is scaling everythin

The vast majority of our time was spent figuring out the model architecture and large-scale distributed training, and step 2 (starting now) is scaling everything up. Prompt understanding and audio quality will get significantly better once we swap in a larger text embedding model. Thanks for the feedback re: DAWs, though! That would be really cool. Maybe we can tag tracks based on the effects applied to them to allow this to be more controllable.