Hi All, Hope everyone is well. Thought I’d put the following question to the “hive-mind”: What would be the top 10 (or top N, if 10 is too small) must-read AI/ML papers be, if one were to get fairly up-to-date with GenAI, at least to a degree where you can join in discussions at specialist AI/ML meetings? For reference, I have a decent grasp of the fundamentals (neural nets, deep learning, transformers). It goes without saying, one needs to keep on reading papers/blogs etc. to stay up to date, but in a time were the published research output is at an all-time high it can be difficult to navigate, and thus easy to end up going out on a tangent. Many thanks in advance. submitted by /u/weluuu
Originally posted by u/weluuu on r/ArtificialInteligence
