Short notes - pointers to programming for speed and efficiency, leveraging hardware-specific features available on ARM Apple Silicon. MacOS-focused at most places, although ideas are easy to generalise.

Delving into LLMs to probe how they do what they do.

An overview of what tokens and embeddings mean in the context of LLMs - and related models. Please use the code along side for more grounding. Code links towards the end.

MLX 20/80. With 20% effort, hope to get 80% covered on MLX's offerings. And, I don't stand by this claim.

Probably definitely incomplete notes on probability.

Chapter-wise notes for Deep Learning with Python with Python and Clojure code samples. The book is not done. These notes are evolving as I get deeper both into the book and the accompanying code.

For polyglots who can't keep too many languages in their heads and need a deep refresher.

Summarized guide for features I commonly use, for quick reference.

Clojure Notes - An aimless dump of anything and everything interesting I find and manage to record.