> 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.
zhainya 14 hours ago [-]
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?
lacoolj 12 hours ago [-]
Scroll all the way down and there's a video, it's a course he's making for deep-dive into how Qwen 3.6 works internally
mille562 14 hours ago [-]
Click "Later->" to bypass subscribe.
kevincox 7 hours ago [-]
I clicked "Back" to leave the user-hostile website.
arcfour 5 hours ago [-]
Yes. Convince me why your site is worth my attention, don't try to force it through a dark pattern and then try to justify why I should waste my time figuring it out.
dominotw 13 hours ago [-]
dont see later
PTOB 9 hours ago [-]
Eventually, none of us do.
13 hours ago [-]
slowin 9 hours ago [-]
I found Deep Learning by No Starch Press to be an excellent primer the foundation of AI:
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.
- other half have no visualizations whatsoever
- i have posted far better resources than this in the past collecting everything HN has over a 10 yr period on these subjects https://news.ycombinator.com/item?id=49183198
Train your own LLM - https://github.com/angelos-p/llm-from-scratch
HN Discussion - https://news.ycombinator.com/item?id=48017948
> 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.
https://nostarch.com/deep-learning-visual-approach
The philosophy is the same: "What I cannot create, I do not understand." https://github.com/workofart/ml-by-hand