Since you're posting here, you're looking for the shortcut.

The shortcut is Karpathy's "Let's Build GPT: from scratch, in code, spelled out" video:

https://www.youtube.com/watch?v=kCc8FmEb1nY

Then there is a good video that dives into LLMs and how they work that is quite approachable:

https://www.youtube.com/watch?v=7xTGNNLPyMI

From there, flesh out knowledge with his other videos, where he goes both extremely light and extremely deep:

https://www.youtube.com/@AndrejKarpathy/videos

Anyway, I really like's Karpathy's video because he's very good at explaining LLMs at every level.

Sorry to self-promote but I did exactly that a few months back: https://khamidou.com/gpt2/

Generally, I think the Karpathy tutorials are a good starting point but they're very mathy (despite people telling you you only need high school math to understand llms, a lot of the abstractions and concepts he uses are a bit foreign to programmers).

I found out rebuilding inference of a known model taught me a lot more than passively sitting through the videos and maybe retyping his code. You should try it with something simple, like a model from a few years back!

Andrej Karpathy: Let's build GPT: from scratch, in code, spelled out. https://www.youtube.com/watch?v=kCc8FmEb1nY

There is a new repo of karpathy: https://github.com/karpathy/nanochat. It's a full-stack implementation of an LLM like ChatGPT in a single, clean, minimal, hackable, dependency-lite codebase.

How about this?

https://mathstodon.xyz/@empty/115088095028020763