@rishabh16_@marksaroufim Visual diagrams for all ops (where applicable) would significantly cut down the time it takes to understand them. Same goes for many high level modules/ tutorials as well
Have you ever wanted to train LLMs in pure C without 245MB of PyTorch and 107MB of cPython? No? Well now you can! With llm.c:
https://t.co/PoGTZIwASL
To start, implements GPT-2 training on CPU/fp32 in only ~1,000 lines of clean code. It compiles and runs instantly, and exactly matches the PyTorch reference implementation.
I chose GPT-2 to start because it is the grand-daddy of LLMs, the first time the LLM stack was put together in a recognizably modern form, and with model weights available.
Our preprint on OpenFold, our trainable reproduction of AlphaFold2, is finally up (https://t.co/3EoTzE3Xdb)! Since we open-sourced parameters in June, we've trained the model to high accuracy more than 50 times, on a variety of datasets. Here's what we learned (a lot) -> (1/19)
@visakanv Somehow, the self-hatred was never there when I was a child. I think the hyper competitive world that you step into & the expectations that pile up on you as you grow up has a lot to do with this.
@nickcammarata And if that's the case, we can think of Pali as the language of enlightenment. Maybe a few other adjacent languages too. Attaching a language to enlightenment can be a bad idea though.
@nickcammarata Do you feel that there are good/ direct English translations for these Pali words? I personally feel that these Pali words are loaded with context and refer to very specific states of mind (and other things) that don't translate very well to English or other languages.
Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon!
https://t.co/6uiV51Xly5
https://t.co/CLo7EKubBT
If you have less than 3 hours to spare & want to learn (almost) everything about state-of-the-art explainable ML, this thread is for you! Below, I am sharing info about 4 of our recent tutorials on explainability presented at NeurIPS, AAAI, FAccT, and CHIL conferences. [1/n]
With EigenGame, our team formulated PCA as a competitive multi-agent game, testing a new approach to an old problem. @iclr_conf they shared new insights & algorithms that scale to massive data sets & offer an alternative to explore fundamental ML problems: https://t.co/NbQG9xCDnA
A little over 12 years ago, the police started building a case against me.
That was stressful. They were watching. They wanted to take me off the streets.
Here is the story of how I fled Cuba and came to the United States.
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If you’ve been fortunate enough to do well this year, consider joining me and @VitalikButerin by donating at the addresses below.
But if all you have is Twitter, help spread the word. For every RT, I’ll donate another $50 to fight COVID in India, up to $100k. #cryptovscovid
With postdoc Stephen Bates and Trevor Hastie, I have just completed a new paper "Cross-validation: what does it estimate and how well does it do it?" https://t.co/LrdFr6Zhbl
Are you an undergraduate student in Sri Lanka interested in pursuing graduate studies abroad? @goasksef is offering a 6-month mentorship program with individuals in STEM from all around the world 🌎 ‼️Deadline March 14! ‼️
I've worked in a lot of different sciences and what I've discovered is that each science is its own slightly bizarre alternate reality where the scientific method turned out differently.
I’ll never forget doing compressions in a young child who was slowly dying from Influenza B, his heart being the last organ to fail. He made it (🤲🏽❤️), which speaks to his absolute tenacity.
Look at flu deaths in kids this yr. It’s remarkable. 👀
I hope we can learn from this.
@iamtrask When you said "from a safety standpoint", what immediately came to mind was that narrow AI may be less vulnerable to attacks, more performant and robust (at the narrow task), easier to verify, more interpretable etc. than general AI.