What are the best educational resources?

What is the best way to learn LLM / generative AI topics in depth:

* loss functions
* finetuning (LoRA, QLoRA, etc)
* creating good datasets
* quantization, AWQ

etc. I know there is the Fast AI course, but more interested in these above topics. Seems like there are scattered guides, notebooks and a promising repo here: [https://github.com/peremartra/Large-Language-Model-Notebooks-Course](https://github.com/peremartra/Large-Language-Model-Notebooks-Course) but nothing comprehensive.

datasets deeplearning educational etc finetuning functions generative good learn llm lora loss qlora quantization resources topics