Curated Resources
The courses, tools, and reading I recommend to anyone learning AI engineering and research.
Where to build real intuition for how modern AI works.
Build backprop, makemore, and a GPT from scratch. The single best on-ramp.
Visual intuition for what gradient descent and attention are doing.
Top-down, code-first deep learning that gets you shipping early.
The clearest visual walkthrough of attention and the Transformer block.
The tools I reach for when building AI products.
Models, datasets, and transformers. The hub for applied ML.
My primary framework for research and training.
Reference for RAG plumbing: chunking, retrieval, reranking.
How this site and most of my front-ends ship.
Where the field moves faster than any textbook.
Primary source for new ML research, before it hits the news.
Papers linked to runnable implementations and leaderboards.
Weekly, signal-over-noise summary of what matters.
Thoughtful weekly read on AI progress and its implications.