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  • Hacker News
  • I watched the intro video and all I saw were numbers in an Excel sheet. That doesn't make this fun. I'd rather have AI ELI5 it to me.
    by docheinestages
  • I’d say bad UX design. It may or may not be something good behind the door. But why do I enter?
    by ThunderousVoid
  • My professor used this "by hand" technique when teaching quantum computation algorithms, so I have a soft spot for it.
    by copperx
  • Nice! Is that also accessible online?
    by alok-g
  • Similarly, I’ve been working through Raschka’s Build a Large Language Model (From Scratch) https://sebastianraschka.com/llms-from-scratch/ and it’s been well worth it (particularly paired with his explainer videos)
    by dan-g
  • It started mostly as an exercise to make sure I actually understood forward propagation and backpropagation rather than just using an existing framework.

    If anyone is interested: https://github.com/kvladsrc/gym/tree/main/neural_network/nn_...

    by zjgkknk
  • 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

    by megadragon9
  • 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.
    by dominotw
  • I found Deep Learning by No Starch Press to be an excellent primer the foundation of AI:

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

    by slowin
  • There's also The Little Learner: https://www.thelittlelearner.com/
    by sn9
  • - 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

    by vivzkestrel
  • - EDIT

    - every post is locked https://www.byhand.ai/archive

    - sorry bruh, not gonna bother with a paywall that big

    - amaze me first, i am happy to pay

    by vivzkestrel
  • 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?
    by zhainya
  • Click "Later->" to bypass subscribe.
    by mille562
  • 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
    by lacoolj
  • 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.

    by rustyminnow
  • 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

    by iamnotarobotman
  • Are there any like this but in c or c++?
    by bcjdjsndon