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AI by Hand byhand.ai

vivzkestrel2 hours ago

- half the posts are locked

- 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

iamnotarobotman12 hours ago

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

rustyminnow14 hours ago

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.

zhainya14 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?

lacoolj13 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

mille56214 hours ago

Click "Later->" to bypass subscribe.

kevincox7 hours ago

I clicked "Back" to leave the user-hostile website.

arcfour6 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.

dominotw14 hours ago

dont see later

PTOB10 hours ago

Eventually, none of us do.

[deleted]13 hours agocollapsed

slowin9 hours ago

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

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

sn97 hours ago

There's also The Little Learner: https://www.thelittlelearner.com/

aardv44rk3 hours ago

[dead]

megadragon913 hours ago

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

dominotw13 hours ago

wow this is nice work. i am diving into this world and was hoping to this exact thing. i am going to look to see how you did it. ty for sharing.

[deleted]13 hours agocollapsed

copperx13 hours ago

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

alok-g9 hours ago

Nice! Is that also accessible online?

copperx5 hours ago

No :(

ThunderousVoid10 hours ago

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

AdieuToLogic6 hours ago

See also:

  Foundations of Large Language Models[0]
0 - https://arxiv.org/pdf/2501.09223v2

Damjanski13 hours ago

this is sick!

anthropic-dario12 minutes ago

[dead]

hn-front (c) 2024 voximity
source