Nice to see this launch of a Pro version of DeepPCB, an RL-based system for laying out PCB boards, which runs on @googlecloud. Nice work, @kbeguir and team! 🎉
The use of RL for many kinds of hardware design and layout problems is accelerating. I remember excitedly comparing notes with Karim many years ago about this work and some work we were doing on using RL for ASIC chip floorplanning, which has been having more and more impact on our hardware work at Google.
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, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points.
Gemini was built by an awesome team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google, and is one of the largest science and engineering efforts we’ve ever undertaken. As one of the two overall technical leads of the Gemini effort, along with my colleague @OriolVinyalsML, I am incredibly proud of the whole team, and we’re so excited to be sharing our work with you today!
There’s quite a lot of different material about Gemini available, starting with:
Main blog post: https://t.co/NzSycJl7aE
60-page technical report authored by th Gemini Team: https://t.co/CEdMRyYSLo
In this thread, I’ll walk you through some of the highlights.
BREAKING: Cisco agrees to buy cybersecurity company Splunk in a deal valued at about $28 billion, creating one of the world’s largest software companies https://t.co/wzxMfs1tLe
A new generalization of automatic differentiation lets researchers compute upper and lower bounds on functions, instead of just derivatives, leading toward more principled learning rate selection during #ML model training. Learn more: https://t.co/rmESYdqGzE
Excited to share a number of features that build on many years of @GoogleAI research and generative AI advances:
An API to the latest generation of our PaLM language models
MakerSuite for developers,
Writing/rewriting help in Docs and Gmail (Google Workspace),
and more!
It's exciting to see @ChromiumDev announcing support for the use of @rustlang! It's been a long journey, and I look forward to watching them evaluate, adopt, & hopefully even contribute to some of the amazing libraries available in the #rustlang ecosystem https://t.co/DJZTyz5yCy
Hear our big takes about BigLake—a storage engine that unifies data warehouses and lakes by enabling #BigQuery and #OpenSource frameworks like Spark to access data with fine-grained access control ↓
https://t.co/kAfIPpZSuW