I’m trying to create a learning roadmap starting with Fast.ai to allow me to build SOTA LLM products like Answer.ai is seeking to.
Interesting is what people think one should do after (or during) Fast.ai to make this possible - what courses, papers, and resources would one ideally learn from / read / build etc.
Looking for a bit of a roadmap from someone who’s made the leap !
Thanks!
Interesting question. Did you manage to find an answer elsewhere?
I’m also interested to hear how do people follow the latest research papers. I want to start doing that on a day to day basis.
I haven’t yet unfortunately! If you find out I’d be curious too - will share if I do find anything that’s particularly helpful 
Maxime Labonne did the job in a quite extensive way : GitHub - mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Cheers,
Gautier