Recommended by Cameron R. Wolfe
Devansh writes awesome overviews on a variety of different AI-related topics that are always well-written and understandable.
Sai has a really unique mix of cutting-edge knowledge in AI and incredible/creative writing ability. His newsletter finds a way to make complex topics fun and easy to read about. I highly recommend it for ML practitioners at any level!
This newsletter by Sebastian Raschka is incredibly useful and relevant. I'm regularly impressed with how the topics are covered in-depth, while still being so concise. The newsletter doesn't take long to read and is great for staying up-to-date with technical topics in the deep learning space.
Davis' newsletter is simply awesome. A massive number of ML publications are posted to Arxiv every week. Even active researchers struggle to cope with this volume of information. Davis summarizes and explains all of it, making it possible for researchers to actually stay up to date with AI research. His newsletter is a true life saver.
Nathan is an experienced/active researcher working on open-source LLMs and RLHF. His blog (Interconnects) reflects his experience in the space. He provides a ton of useful tidbits/perspectives on a variety AI-related topics.