However, I wonder about the use of this. Typically, you'd want to use a GPU for inference, and programming those in C is quite a challenge. The educational value of learning LLMs in C/C++ seems a lot lower than in Python. May I ask why you're interested in this specifically?
Also, why ask this here, and not simply use Google or an LLM to find the information? It comes off as a bit lazy, especially given that you provide no extra context.
DrewADesign 2 hours ago [-]
> Also, why ask this here, and not simply use Google or an LLM to find the information? It comes off as a bit lazy
You gave a good answer: why SO the thread? Conversation is the goal here, right? If you’re feeling put out by the question, why bother answering it and then complaining that they asked it? Just move along.
> 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 1 days 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 1 days 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 1 days ago [-]
Click "Later->" to bypass subscribe.
kevincox 20 hours ago [-]
I clicked "Back" to leave the user-hostile website.
arcfour 18 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.
throw1234567891 6 hours ago [-]
You’re safe now. Good job.
shric 12 hours ago [-]
Welcome to Substack
dominotw 1 days ago [-]
dont see later
PTOB 22 hours ago [-]
Eventually, none of us do.
1 days ago [-]
slowin 22 hours ago [-]
I found Deep Learning by No Starch Press to be an excellent primer the foundation of AI:
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)
megadragon9 1 days 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.
Train your own LLM - https://github.com/angelos-p/llm-from-scratch
HN Discussion - https://news.ycombinator.com/item?id=48017948
However, I wonder about the use of this. Typically, you'd want to use a GPU for inference, and programming those in C is quite a challenge. The educational value of learning LLMs in C/C++ seems a lot lower than in Python. May I ask why you're interested in this specifically?
Also, why ask this here, and not simply use Google or an LLM to find the information? It comes off as a bit lazy, especially given that you provide no extra context.
You gave a good answer: why SO the thread? Conversation is the goal here, right? If you’re feeling put out by the question, why bother answering it and then complaining that they asked it? Just move along.
- 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
- 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
> 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