Hey guys! SmolML is now out! A small Machine Learning library I made completely from scratch (no external libraries) for educational purposes.
I've recently added comprehensive guides explaining every concept from the ground up – from automatic differentiation to backpropagation, n-dimensional arrays and tree-based algorithms.
This isn't meant at all to replace production libraries (it's purposely slow since it's pure Python!), but rather to serve as a learning resource for anyone wanting to understand how ML actually works beneath all the abstractions.
If you're learning ML or just curious about the inner workings of libraries like Scikit-learn or PyTorch, I'd love to hear your thoughts or feedback! :)
@majamediaco I always struggle with this. I obtain information but just keep it in my head. I'm not much of a wordcel, but I guess forcing myself would make the translation of abstract thoughts -> words easier
Teknium is insane man, anytime I open this app he's there providing value. the work ethic of this guy is otherworldly.
no wonder hermes is super goated
why does no one care about the fact that we’re projected to run out of clean drinking water by 2039 because of how much water ai data centers use please stop using chatgpt y’all, i beg. you do not need a shitty looking cartoon of yourself, i promise. the planet is dying.
Casual reminder that these posts are from american founders who can't sell your data and are salty because of it. The EU doesn't force you to put a cookie popup for functional cookies :)
Abide by my GDPR information deletion requests and stay mad.
this guy has 29 models on huggingface at page 2 ranking. no lab behind him. no sponsorship. $2,000 from his own pocket on GPU rentals. he compressed GLM-4.7 to run on a MacBook and quantized Nemotron Super the week it dropped. all public. all free.
nvidia is a trillion dollar company with hundreds of teams but they are not the ones quantizing models middle of the night and pushing them out before sunrise. if nvidia stopped tomorrow their employees stop working. people like @0xSero would not. that is the difference between a paycheck and a mission.
@NVIDIAAI you talk about making AI accessible. the people actually doing it are right here. 29 models deep burning their own compute with no ask except more hardware to keep going. you do not need to build another program. just look at who is already building for you. one GPU to this man would produce more public value than a hundred internal sprints.
i am not asking for charity. i am asking you to invest in someone who already proved it.