Introduing Ivy Modules! Define your models and optimizers in Ivy, and then train using any of: PyTorch, TensorFlow, Jax or MXNet! Ivy does not wrap classes from these frameworks. Ivy classes build directly on Ivy's simple functional API. Find more at: ivy-dl.org

I am so happy to start my second research internship at @DeepMind with @andre_s_barreto in the reinforcement learning team. This is going to be fun! 😁🤖

We're presenting OstrichRL at the #NeurIPS poster session today at 8:45 a.m. PST (5:30 p.m. CET). Join us to chat about #musculoskeletal modelling in #MuJoCo and RL!

I am very happy to share that I successfully passed my PhD viva today! 🥳 Many thanks to my thesis supervisor Petar Kormushev Petar Kormushev 🤖 and to my two amazing reviewers Deepak Pathak Deepak Pathak and Antoine Cully Antoine Cully. This is the end of an incredible journey!

I am incredibly happy to announce that I am joining DeepMind Toronto as a Research Scientist 🎉🇨🇦 Working at @DeepMind on the team led by Vlad Mnih is a great honor for me. I can't wait to get started!

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,

The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable & general AI model. Built to be natively multimodal, it can understand many types of info. Efficient & flexible, it comes in 3 sizes each best-in-class & optimized for different uses blog.google/technology/ai/…

Gemini is a suite of incredibly powerful and general models that push the limits of artificial intelligence. Participating in this massive effort made me feel like I was part of history in the making and I can't wait to see what lies ahead! #GeminiAI blog.google/technology/ai/…

After getting a glimpse of the incredible New Orleans, I'm excited to be at NeurIPS Conference all week! Let me know if you'd like to chat, or come and say hi at the Google DeepMind booth on Tuesday or Wednesday afternoon. I'll be with the #GeminiAI team.

Google DeepMind announces Vision-Language Models as a Source of Rewards paper page: huggingface.co/papers/2312.09… Building generalist agents that can accomplish many goals in rich open-ended environments is one of the research frontiers for reinforcement learning. A key limiting

The General Agents team at Google DeepMind Toronto is looking for a new Research Scientist. Apply if you have the right skills and want to work with us on building generalist agents that can interact with simulated and real world environments! boards.greenhouse.io/deepmind/jobs/…

We explored how LLMs tackle low-level control tasks across diverse domains. While there's room to grow, in-context learning and existing image/text tokens can handle diverse observation and action spaces. No special tokens or adapters are needed to play games or control robots!

Genie 2 🧞‍♂️ is a very impressive model and the perspective of generating endless, unique worlds is incredibly exciting! Collaborating with the team has been a truly fun and inspiring experience 😁

Thrilled to be at #NeurIPS this week! Excited to reconnect with friends and colleagues I haven’t seen in a while. If you’d like to meet up, don’t hesitate to reach out, I’ll be stopping by the Google DeepMind booth occasionally.