Vivek Pujara @_vivek_pujara
Research Data Scientist (AI/ML) @CedarsSinaiMed & @dartmouth | Prev. @UCIBioSci | Software | Sports | Music | Books linkedin.com/in/vivek-pujar… Los Angeles, CA Joined August 2012-
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I don't have too too much to add on top of this earlier post on V3 and I think it applies to R1 too (which is the more recent, thinking equivalent). I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed…
I don't have too too much to add on top of this earlier post on V3 and I think it applies to R1 too (which is the more recent, thinking equivalent). I will say that Deep Learning has a legendary ravenous appetite for compute, like no other algorithm that has ever been developed…
I gave a talk at GPU MODE workshop last week on llm.c - the origin story of llm.c - being naked in the world without PyTorch and having to re-invent Array, Autograd, Device, Dtype, Compile, Distributed - how to port a PyTorch layer to 1) explicit PyTorch - and then to 2) write…
Super excited to be releasing AlphaFold 3 today, developed by @IsomorphicLabs and @GoogleDeepMind: our next generation AI model for predicting the biomolecular structures and interactions of proteins, DNA, RNA, small molecules, and more: bit.ly/44yfaCw 1/
Sharing an early preprint of my Microsoft AI4Science summer internship project. We developed SE(3) flow matching for protein backbone generation. Compared to SE(3) diffusion, we find our method achieves higher designability, faster sampling, with a way simpler implementation. 1/8
Do language models have an internal world model? A sense of time? At multiple spatiotemporal scales? In a new paper with @tegmark we provide evidence that they do by finding a literal map of the world inside the activations of Llama-2!
It's even more fun in 3D, albeit a bit busy.
It's even more fun in 3D, albeit a bit busy. https://t.co/PZhGGdbGL7
@ChristinaAguina fMRI and AI to read minds! science.org/content/articl…
Very happy to share our #ECCV2022 oral “Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories” Fine-grained tracking of anything, outperforming optical flow. project: particle-video-revisited.github.io abs: arxiv.org/abs/2204.04153 code: github.com/aharley/pips
GNNs and atomic coordinates paving the way in protein conformational landscape prediction 🧬📊. @Stanford #CS224W students Leah Reeder & Xun Tang use GNNs to predict protein structures, creating potential impacts on fields of drug discovery. medium.com/stanford-cs224… @PyG_Team
To make neural networks as modular as brains, We propose brain-inspired modular training, resulting in modular and interpretable networks! The ability to directly see modules with naked eyes can facilitate mechanistic interpretability. It’s nice to see how a “brain” grows in NN!
I started building a ChatGPT plugin that can summarize any YouTube video, answer questions about it, and give specific timestamps when asked.
Molecular Language Model as Multi-task Generator abs: arxiv.org/abs/2301.11259 repo: github.com/zjunlp/MolGen
🔥 New (1h56m) video lecture: "Let's build GPT: from scratch, in code, spelled out." youtube.com/watch?v=kCc8Fm… We build and train a Transformer following the "Attention Is All You Need" paper in the language modeling setting and end up with the core of nanoGPT.
Nice review on modeling RNAs. Includes some discussion of deep learning approaches & overlaps with sequence --> structure/function predictions for DNA and proteins.
Nice review on modeling RNAs. Includes some discussion of deep learning approaches & overlaps with sequence --> structure/function predictions for DNA and proteins. https://t.co/MZMJZQdHK8
I can’t leetcode in peace in this house 😭
Who is JSON and why is he trending
Take your test pilot for a spin: GitHub Copilot Labs now comes with a test generator, that creates and refines tests! @GitHubNext
the gaps of life
“A room without books is like a body without a soul.” - Cicero #reading #nonfiction #books
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