Today we're releasing Gemma 4, our new family of open foundation models, built on the same research and technology as our Gemini 3 series. These models set a new standard for open intelligence, offering SOTA reasoning capabilities from edge-scale (2B and 4B w/ vision/audio) up to a 26B parameter MoE model and a 31B dense model. By releasing Gemma 4 under the Apache 2.0 license, we hope to enable more innovation across the research and developer communities. Our earlier Gemma 3 models were downloaded 400M times and over 100,000 variants of those models have been published, so we're excited to see what the community will do with the even better Gemma 4 models!
Learn more at https://t.co/BW6O3Gr8bc and https://t.co/8M0XSQSP4u
Great work by everyone involved!
#Gemma4 #AI #OpenSource #ML
arXiv -> alphaXiv
Students at Stanford have built alphaXiv, an open discussion forum for arXiv papers. @askalphaxiv
You can post questions and comments directly on top of any arXiv paper by changing arXiv to alphaXiv in any URL!
Finally finished a new review paper: "Machine learning for climate physics and simulations" @turbulentjet We highlight the distinct yet complementary goals of ML: accelerating simulations vs learning physics. Share with us your favorite ML4climate papers! https://t.co/XrM9dBT4rM
๐A DOE AI for Energy report!
It surveys how AI can be applied to power grids and across the economy (transportation, buildings, manufacturing, agriculture, etc)
https://t.co/C0tWneanwU
(0/25) Here's a list of 25 YC companies that have trained their own AI models. Reading through these will give you a good sense of what the near future will look like.
1/5 Introducing our latest work in AISTATS2024 with @maosbot, @krikamol, @Chau9991, @DavidHowey, @bradyplanden!
A human-AI teaming Bayesian Optimisation:
1๏ธโฃ Pairwise suggestions; standard and expert-informed BO with explanations.
2๏ธโฃ Learns preference from choices.