Arth Dharaskar @_ArthDh
Curious about Machine Learning, Neuroscience and Everything in between ✨ Joined April 2017-
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There's too much happening right now, so here's just a bunch of links GPT-4 + Medprompt -> SOTA MMLU microsoft.com/en-us/research… Mixtral 8x7B @ MLX nice and clean github.com/ml-explore/mlx… Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models…
I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks,…
This is the first pass on the new chapter for ML Engineering: The AI Battlefield Engineering - What You Need To Know github.com/stas00/ml-engi… This a WIP and your feedback for improvement is always welcome.
This is how I use AI (ChatGPT) to improve my academic research. "AI Prompt Templates" supercharge any task from PDF annotations to writing a paper. Step by step tutorial with powerful prompts for researchers: 👇
A project to keep an eye on: github.com/LAION-AI/Open-… The goal: A truly open ChatGPT like assistant, and beyond, currently targeting a ~24GB-memory-to-run model. You can help right now with the RLHF stage: open-assistant.io
Excited to announce our Deep Learning Tuning Playbook, a writeup of tips & tricks we employ when designing DL experiments. We use these techniques to deploy numerous large-scale model improvements and hope formalizing them helps the community do the same! github.com/google-researc…
POV: You're a Senior Data Engineer at Twitter. Elon asks what you've done this week. You've done nothing. Frantically, you open ChatGPT.
1/ Now you can create "drone" shots from your phone footage, thanks to NeRF Collab with @justLV / software @nerfstudioteam / see below for our process #NeRF #neuralrendering #artificialintelligence #instantNeRF
Python 3.11 is out! 🎉 This is one of the most exciting releases in a while, including significant speed upgrades and better error messages. Here's what's new:
I probably should have written this years ago, but here are some MLOps principles I think every ML platform (codebase, data management platform) should have: 1/n
If you don't remember retweeting this, it means that you have leaked your Twitter Access Token in a public GitHub repository. Not the best practice, right? For details, read our latest article: link.medium.com/L1VvZmhb5mb #InfoSec #CyberSecurity #GitHub
Today with @emblebi, we're launching the #AlphaFold Protein Structure Database, which offers the most complete and accurate picture of the human proteome, doubling humanity’s accumulated knowledge of high-accuracy human protein structures - for free: dpmd.ai/alphafolddb 1/
I wrote a piece of code that, given an input and output tensor sizes and a depth, computes all the sequences of kernel sizes / strides that do it! No padding. I hate paddings. fleuret.org/git-extract/py… @PyTorch
Gradient descent in differentiable games rotates around solutions instead of converging. For instance, in GANs. We solve this with a simple trick: complex momentum damps the oscillations. arxiv.org/abs/2102.08431 With @jonLorraine9 @davidjesusacu @PaulVicol
Excited to share a new #SIGGRAPH2021 paper with @markgillesie81 and Boris Springborn that is a pretty big breakthrough in mesh parameterization: cs.cmu.edu/~kmcrane/Proje… In short: no matter how awful your mesh is, we compute beautiful high-quality texture coordinates. (1/n)
As @NeurIPSConf #NeurIPS2021 deadline approaches, I've consolidated some technical writing tips. Succinct answers to each of the questions, Voila, you have a crisp Introduction! Expand on prior work, intuition/tech details, & expts for the rest ensuring the why is always clear
TPU VM is out of alpha! Cloud TPU VMs run on the TPU host machine and offer significantly better performance and usability when working with TPUs (e.g. you can store data directly at TPU VMs). cloud.google.com/tpu/docs/users…
LASR: Learning Articulated Shape Reconstruction from a Monocular Video pdf: arxiv.org/pdf/2105.02976… abs: arxiv.org/abs/2105.02976 project page: lasr-google.github.io
Barlow Twins: a new super-simple self-supervised method to train joint-embedding architectures (aka Siamese nets) non contrastively. arxiv.org/abs/2103.03230 1/N

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