| This is what works for me so far: - This repo has a list of important papers at the end of every week: https://github.com/dair-ai/ML-Papers-of-the-Week - The best papers are usually discussed pretty quickly on relevant Discord servers I'm in (HuggingFace, EleutherAI, FastAI, etc). - I follow discussions on a few GitHub repos and learn some implementation details that way. (llama.cpp, oobabooga, etc) - Finally- there are quite a few YouTube channels that are good supplements (there was a good HN thread about this a while ago). I'd also like to offer some encouragement- I remember feeling daunted at the beginning, thinking of how fast things were moving in AI, and how slow I'd be in comparison. But once I started reading papers, it became a lot easier to make connections and identify which papers were actually novel and exciting versus which ones were just variations of things that had been tried and tested before. I promise that it gets easier and more enjoyable as soon as you get past the initial psychological barrier at the beginning- AI is really fun to use! |