3 ms·
Ask HN: How do you catch up to the research of LLMs/Transformers etc.?
I have been trying to catch up on research that has happened in the last 5 to 10 years on transformers, GANs, LLMs, etc. There are some amazing resources out there explaining some of the aspects. I also started reading original papers for better context. However, most of them refer to previous papers and I feel like I am falling into the rabbit hole and discovering more research.
How do you catch up to the fast-moving research?
Here are some resources I use:
1. https://paperswithcode.com/
2. Two minutes papers ( Youtube )
3. https://github.com/diff-usion/Awesome-Diffusion-Models
4. https://www.litmaps.com/ ( for finding references )
- friendlynokill 3y agoIf you haven't already, I highly suggest going through Andrej Karpathy's Neural Networks course. He covers some of the history and evolution of neural networks. https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html
- jerpint 3y agoYannick kilcher YouTube Channel is filled with very relevant paper reviews that are very helpful
- ZunarJ5 3y agohttps://huggingface.co/papers https://huggingface.co/papers Mastodon: @arxiv_ai@creative.ai https://metacurate.io/ https://metacurate.io/ Research tools: https://tools.kausalflow.com/tools/ https://tools.kausalflow.com/tools/
- hahnchen 3y agoThis is a question I asked recently: https://news.ycombinator.com/item?id=38652736 https://news.ycombinator.com/item?id=38652736
- pizza 3y ago- check r/locallama daily - follow (amongst hundreds/thousands of other accounts..): ak, aran komatsuzaki, lucidrains, rivershavewings, wizardlm, blinkdl (rwkv), greg gerganov, thebloke, yannic kilcher, yann lecun, hazyresearch, igor carron, calccon/charles martin, birchlabs, jeremy howard, geohot, patrick kidger, gwern, adam nemecek