HN

Comments (23)

• iamnotarobotman
  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-scratchHN Discussion - https://news.ycombinator.com/item?id=48017948
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  vivzkestrel
  - 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
• rustyminnow
  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.
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  zhainya
  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?
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  slowin
  I found Deep Learning by No Starch Press to be an excellent primer the foundation of AI:https://nostarch.com/deep-learning-visual-approach
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  megadragon9
  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
• docheinestages
  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.
• anon
  undefined
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  copperx
  My professor used this "by hand" technique when teaching quantum computation algorithms, so I have a soft spot for it.
• ThunderousVoid
  I’d say bad UX design. It may or may not be something good behind the door. But why do I enter?
• AdieuToLogic
  See also: Foundations of Large Language Models[0] 0 - https://arxiv.org/pdf/2501.09223v2
• Damjanski
  this is sick!
• anthropic-dario
  [dead]