Deep (Learning) Focus

Nir does a great job of using analogies and storytelling to explain AI-related concepts in an understandable way.

- Cameron R. Wolfe

Tom makes the best visualizations of AI-related concepts that I have seen. They're great for learning and further solidifying your fundamental understanding of AI, as well as explaining important concepts to others!

- Cameron R. Wolfe

Logan is a long-time ML engineer that does an awesome job of explaining the intersection of ML/engineering (and beyond) in a digestible manner.

- Cameron R. Wolfe

Very interesting publication that explores methods of leveraging AI for writing / content creation via a series of concise, focused, and useful tutorials.

- Cameron R. Wolfe

Pascal writes understandable and concise overviews of a few relevant LLM papers every week. It's super quick to read and a great resource for filtering some useful work out of the many papers published every week.

- Cameron R. Wolfe

Devansh writes awesome overviews on a variety of different AI-related topics that are always well-written and understandable.

- Cameron R. Wolfe

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.

- Cameron R. Wolfe

Elvis writes (in my opinion) the best and most up-to-date newsletter for keeping up with NLP / LLM research and engineering.

- Cameron R. Wolfe

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.

- Cameron R. Wolfe