Bobak Shahriari

[Bobak Shahriari @bshahr]

Really proud of our team's achievement here 🙏💖

[Sundar Pichai @sundarpichai]

DiffusionGemma is an open, experimental model that brings our text diffusion research to Gemma 4. It’s a racehorse 🏇achieving up to 4x faster inference by generating entire blocks of text simultaneously vs predicting token-by-token (word-by-word) output!

[Demis Hassabis @demishassabis]

Gemma 2 is available to researchers & developers. At 27B it delivers best-in-class performance for its size and is competitive even to models over twice its size! Proud to continue our tradition of thoughtfully bringing cutting-edge research to the open models ecosystem.

[Robert Dadashi @robdadashi]

I am so proud to announce that:
- Gemma 2 27B IT tops all open weights models on Chatbot Arena, with a pinch of optimism in the face of uncertainty :)
- Gemma 2 9B IT sets a new frontier for models of similar size.
1/n

[Surya Bhupatiraju @suryabhupa]

I am absolutely thrilled to announce the release of Gemma 2! Today, we're releasing both pre-trained-only and fully post-trained 9B and 27B models. The full technical report is here: https://t.co/QIYalQ3jaB and it's live *right now* on https://t.co/XoiJYticj3.

[Geoffrey Cideron @CdrGeo]

Happy to introduce our paper MusicRL, the first music generation system finetuned with human preferences.

Paper link: https://t.co/81wIOSDTTa

[Google DeepMind @GoogleDeepMind]

AI isn’t just helping us advance science. ‍🔬

It can uncover ancient history too. 📜

Last year, we released 𝗜𝘁𝗵𝗮𝗰𝗮: a tool used by experts to restore and attribute ancient Greek texts.

Now, students are using it to learn more about our past. Watch more. ⬇️

[Google DeepMind @GoogleDeepMind]

Acme, a framework for distributed RL research, has been updated to be cleaner, more modular, and to support more agents - including offline & imitation. Try it yourself!

GitHub: https://t.co/QreStPR4wd
Quickstart: https://t.co/a6ZWPdx0lj
V2 Paper: https://t.co/rvXJFbwnsD 1/

[Serkan Cabi @serkancabi]

We just released hundreds of hours of robot data and human feedback in the form of reward sketches for multiple tasks:
https://t.co/bfgPzidTyM
The agent we used is also open-sourced here:
https://t.co/zTjbr6y3F0
For more information, see our project site:
https://t.co/uW4pD37caU

[Google DeepMind @GoogleDeepMind]

Interested in playing around with RL? We’re happy to announce the release of Acme, a light-weight framework for building and running novel RL algorithms.

We also include a range of pre-built, state-of-the-art agents to get you started. Enjoy! https://t.co/2wzpK3nCKp

[Bobak Shahriari @bshahr]

Very cool work from our group, congrats!

[Ziyu Wang @ziyuwang]

Excited to share our latest work on robotics learning.

[Bobak Shahriari @bshahr]

@notmisha Tip of the hat to you sir! Even better than Bobak Out Networks :P

[Bobak Shahriari @bshahr]

Another year, another Bayesian optimization workshop at @NIPS! Black-boxes and beyond---see https://t.co/ToHjtEBcKm for CFP #BayesOpt2016

[Bobak Shahriari @bshahr]

Grim (and very real) picture of the current Vancouver housing crisis. https://t.co/40ubkLrOv5

[Bobak Shahriari @bshahr]

Enjoy a new #chess puzzle game; help gather valuable data in the process! Use your lichess-name for bonus karma https://t.co/4FUusTT8gb

[Bobak Shahriari @bshahr]

@latentjasper Citation to (Srinivas et al., 2010) sent to the corresponding author.

[Bobak Shahriari @bshahr]

@latentjasper As far as I can tell it's exactly GPUCB

[Bobak Shahriari @bshahr]

Cool application of Bayesian optimization! #BayesOpt https://t.co/JXB6tcZQZ8

[Bobak Shahriari @bshahr]

Very cool visualization of the insides of a neural networks https://t.co/5PCS1eedn5

[Bobak Shahriari @bshahr]

For those of us struggling with Type3 fonts at the AiStats deadline: https://t.co/msl17eaAw9

[Bobak Shahriari @bshahr]

For those who play around with such things https://t.co/wxRkjlbTWU my torch implementation of DNGO. See @latentjasper et al reference within