🎓 Calling student teams who want to flex data your viz skills and compete for REAL, ACTUAL PRIZES in our Data Jam! We're giving teams a week to create a notebook with new insights, share it with the world, and tag it #ObservableDJ. #hackathon Learn more: ow.ly/xsun50L4R8J

"What a week, huh?" "Captain, it's Monday morning!" --- Happy to share that we've open-sourced the model weights and Colab demo of our #ECCV2022 paper "MaxViT: Multi-Axis Vision Transformer", finally! 🤗Pls check it out and play around with it: github.com/google-researc…

Over the 7 weeks since Stable Diffusion's release, we've seen many amazing open-source contributions from the community. A lot of them have come in the form of awesome Google Colab notebooks! 🔥 Here is a thread of 14 awesome notebooks we've seen from the community ↓

📢Introducing ClimateLearn, a new PyTorch library for accessing climate datasets, state-of-the-art ML models, and high quality training and visualization pipelines. Blog: aditya-grover-group.github.io/blog/2023/clim… Docs: climatelearn.readthedocs.io Quickstart Colab: colab.research.google.com/drive/1WiNEK1B… 🧵 (1/n)

The folks at Corridor continue to amaze us with their innovative use of Stable Diffusion! Their latest video, currently trending on YouTube, uses Stable Diffusion to make a fun animation! 🔥 Check it out! → youtube.com/watch?v=GVT3WU…

What if I told you there is a billionaire who controls your medical records. She started Epic Systems in a Wisconsin basement in 1979. And now she's the richest woman you've never heard of. 10 matter-of-fact messages from the Midwest billionaire, Judy Faulkner: 1. “If you see

Every Data Scientist needs to know these ideas. They will blow your mind. 1. Correlation vs Causation P(A | B) is the probability of A given B. It is the probability that we will observe A given that we have already observed B. P(A | do(B)) is the probability of A given

I'm reading Elon Musk's biography. One revelation was more fascinating to me than all of the gossip combined. It's what the book calls The Algorithm. Elon's simple 5 step recipe for success. Read on to learn all about the algorithm and what it implies for the future of

An OS that boots to a baby Llama 2 github.com/trholding/llam… Standalone, Binary Portable, Bootable I expected that my "Llama 2 inference code in a single .c file" would go places, but this really stretches the imagination :) And why not, do we really need all this stuff?

We can tell our robots what we want them to do, but language can be underspecified. Goal images are worth 1,000 words, but can be overspecified. Hand-drawn sketches are a happy medium for communicating goals to robots! 🤖✏️Introducing RT-Sketch: rt-sketch.github.io 🧵1/11

Glad to participate and share my thoughts on #AI #skilling and #innovation at the #GlobalTechSummit co-hosted by Randhir Jaiswal & Carnegie India. Empowering individuals through AI skilling is key in navigating the digital era #AIforAll #artificalintelligence #IndiaTechade #AIskills

I love this. This is why open source AI platforms will win: it's the only way for AI to cater to highly diverse languages, cultures, values, and centers of interest.

Intel continues to bring its most advanced technology to the continent, helping the EU create a next-generation European chip ecosystem. Thank you for the continued partnership, Margrethe Vestager!

The next chapter about transformers is up on YouTube, digging into the attention mechanism: youtu.be/eMlx5fFNoYc The model works with vectors representing tokens (think words), and this is the mechanism that allows those vectors to take in meaning from context.

Using large language model-based generative AI solutions to enhance productivity.​ Learn about an on-prem, secure, #IntelXeon and Gaudi-powered solution built in collaboration with Articul8, a partner company, and how Intel has already been using it in the fabs. #IntelVision

new work on rlvr + natural language guidance to enhance a model's ability to reason in its own words

From #aerospace engineering to building domain-specific AI models for industries like #manufacturing and energy, Arun Karthi Subramaniyan shares how his startup Articul8 born inside Intel is tackling real-world problems with precision and scale. Subramaniyan is also working with

Our paper "Steering Semantic Data Processing with DocWrangler" will be receiving a Best Paper Honorable Mention in a couple of weeks at UIST 2025! DocWrangler is a mixed-initiative IDE we built at Berkeley for semantic data processing, where users work with AI to analyze

We wrote a book about representation learning! It’s fully open source, available and readable online, and covers everything from theoretical foundations to practical algorithms. 👷‍♂️ We’re hard at work updating the content for v2.0, and would love your feedback and contributions

nanochat can now train GPT-2 grade LLM for <<$100 (~$73, 3 hours on a single 8XH100 node). GPT-2 is just my favorite LLM because it's the first time the LLM stack comes together in a recognizably modern form. So it has become a bit of a weird & lasting obsession of mine to train