I have no idea tbh. I learned these a while ago (~7 years ago), and the materials I used then are heavily outdated and also I won't be able to remember what they were. I guess any intro course to deep learning should talk about these. Stanford ones used to be good. Maybe someone else can be more useful about it.
It's pretty lengthy but doesn't require a PhD to understand. If you can get to the end of it you'll have a much better understanding of what's going on.
To be honest, I'd start with some introduction to Transformer YouTube videos. They'll cover a lot of these terms and you'll then have a better understanding to find additional resources.
Please ELI5 where I can have a glossary of AI/ML terms - where do I get fluency in speaking about Tokens, Models, Training, Parameters, etc...
Please dont be Snarky - This is info that everyone younger than I am needs as well.
Is there a Canon? Where is it?