You’re right. I read past the “I want to learn ML” and went straight to “do something useful with the data”.
If the goal is to understand how modern LLMs work, it’s also good to read up on RNNs and LSTMs. For this, 3Blue1Brown does an amazing job, and even posted an in-depth video about transformers. I’d watch that next, followed by implementing a simple transformer in PyTorch (perhaps using the existing blocks).
You could argue that it’s important to design everything from scratch first, but it’s easier to first go high level, see how the network behaves, and then attempt to implement it yourself based on the paper. It is up to OP how comfortable he is with the topic though 😁
Piracy. I’d buy albums if I had money, though. I’ll slowly phase into getting them once I get some more cash.
I can find most stuff I listen to, and I rarely grow my music library. I mostly listen to 20-30 albums, with some more mainstream music peppered in.
My music library currently sits at 90 gigabytes (mostly flacs), so quite small compared to others I’ve seen around here. Still, I have plenty of variation to keep me entertained :D
If you have Tidal, aren’t there some apps to rip the lossless audio from there? You could get most of the stuff that you need, and then cancel the subscription. If you feel bad, maybe order some merch from the band, haha.