https://www.byhand.ai/p/library

> AI by Hand is the research publication of By Hand Research, founded by Prof. Tom Yeh. By Hand Research studies model interpretability and explainability at the math and algorithm level. Subscribers receive free new articles and join live seminars. Members get access to our full research library.

This is also recommended reading if you want to learn more about building LLMs from scratch: See:

Train your own LLM - https://github.com/angelos-p/llm-from-scratch

HN Discussion - https://news.ycombinator.com/item?id=48017948

I found Deep Learning by No Starch Press to be an excellent primer the foundation of AI:

https://nostarch.com/deep-learning-visual-approach

I'm not sure what this is. Click past the subscribe page to get a bunch of links to descriptions of articles I could read if I was a subscriber?

i created something similar a while back. Inspired by micrograd for showing the connection between math/calculus and code, then building along the way to a full NumPy deep learning library that I pretrained GPT-2 124M model with it. One way to learn is to trace through the PRs merged to the repo in chronological order.

The philosophy is the same: "What I cannot create, I do not understand." https://github.com/workofart/ml-by-hand

I’d say bad UX design. It may or may not be something good behind the door. But why do I enter?

My professor used this "by hand" technique when teaching quantum computation algorithms, so I have a soft spot for it.

this is sick!