[Weidenwalker]

Can‘t recommend the fast.ai course by Jeremy Howard highly enough, it walks you through building your own deep learning stack from scratch. What I really appreciate about it is that it demystifies a lot of jargon to what really are quite simple ideas at their core (e.g. „rectified linear unit“ sounding scary even though its literally only a line with a floor).

The 2022 edition isn’t so much about LLMs as about image generation with stable diffusion, but the underlying techniques are still foundational enough to be generally useful. YMMV, but for me building things from scratch, even if results don‘t reach SOTA, is the single most effective way to learn what‘s really going on.