⌘R+ Welcoming Command R+, our latest model focused on scalability, RAG, and Tool Use. Like last time, we're releasing the weights for research use, we hope they're useful to everyone! txt.cohere.com/command-r-plus…

Announcing C4AI Command R+ open weights, a state-of-the-art 104B LLM with RAG, tooling and multilingual in 10 languages.  This release builds on our 35B and is a part of our commitment to make AI breakthroughs accessible to the research community. 🎉 huggingface.co/CohereForAI/c4…

One fully-funded #PhD position at School of Informatics, The University of Edinburgh in the CDT for #ML for #Systems with Amir Shaikhha and me to investigate #ultrascalable and #reliable models for probabilistic programming #PPL exploiting the problem, model and data #structure! Please share!

New: Open Medical LLM Leaderboard! 🩺 In basic chatbots, errors are annoyances. In medical LLMs, errors can have life-threatening consequences 🩸 It's therefore vital to benchmark/follow advances in medical LLMs before thinking about deployment. Blog: huggingface.co/blog/leaderboa…

Fine-tune your LLM unless you have access to GPT-4! In our SemEval 2024 NLI4CT solution, we evaluated LLMs with ICL, CoT, and a novel PEFT method. And yet, GPT-4 produces surprisingly good results, ranking joint-first in the leaderboard! 👉 arxiv.org/abs/2404.00484 🧵 1/9

Two years ago today I joined cohere to bring back for.ai as Cohere For AI💙 Thank you to everyone who has supported our work in the two years since. I am a bit in awe of everything that has happened since. Cheers to exploring the unknown, together. 🍾✨

Time for a throwback – DYK about C4AI’s origin story as one of the first distributed ML research labs? Thanks to Ivan Zhang , Bryan M. Li and Winnie Xu, and all the OG members whose foundation we’ve gotten to build off of. 💙 tinyurl.com/c7xc9n24

Thrilled to announce that I am starting as a Chancellor Fellow next week. It is an honor to be supported by the University of Edinburgh. Exciting times ahead developing new research ideas and growing up as a scientist! 💪

we evaluate #continual learning models on "baby" benchmarks, where it is easy to show no catastrophic forgetting! we propose a new simple benchmark that glues simple but still challenging tasks in a curriculum: from MNIST to Imagenet and back! 📜link.springer.com/article/10.100…

1/2 If you are working in #wearables, #AI, and #healthcare do not let small datasets stop you. mhealth.jmir.org/2024/1/e55094 👈 We share the largest publicly available data collection for #empatica #e4 and release the codebase for pre-processing and self-supervised pre-training.

What will a foundation model for the brain look like? We argue that it must be able to solve a diverse set of tasks across multiple brain regions and animals. Check out our preprint where we introduce a multi-region, multi-animal, multi-task model (MtM): arxiv.org/abs/2407.14668

🚨We're hiring Stanford Medicine Stanford University *Postdoc in visual & systems neuroscience* Focus on experiment design (visual stimuli, behavior etc)👇 Join our collaborative effort w/ Andreas Tolias Lab @ Stanford University Sophia Sanborn Konstantin Willeke Edgar Y. Walker& more Please retweet t.ly/bVdk8

🚨We're hiring Stanford Medicine Stanford University *Postdoc in visual & systems neuroscience* Focus on experiment design (visual stimuli, behavior etc) Join our collaborative effort w/ Katrin Franke Sophia Sanborn Konstantin Willeke Edgar Y. Walker & more Please retweet t.ly/bVdk8

Happy to share that I have started my internship at Microsoft Research and will be working in Redmond WA for the next 3 months! Let me know if you’re around and want to hangout!

Congrats to Dr. Andreas Grivas who just defended his #PhD thesis on unargmaxability and constraints in deep learning, examined by Vlad Niculae and Iain Murray 🎉 A pity you could not (yet) see Andreas' beautifully designed thesis! In the meantime, some pics from the pre-viva 👇

1/3 Excited to share our tell-tale heart study on Bipolar Disorder (BD), now published in npj Mental Health Research : nature.com/articles/s4418… antonio vergari ⚔️ not at #ICML2025 Bryan M. Li Diego Hidalgo-Mazzei UKRI Centre for Doctoral Training in Biomedical AI BipolarBarcelona

Did you miss our last 🛣️ Roads to Research session with Bryan M. Li, Leke Onilude and Phil Strubell? Catch up on paths to graduate studies with these guest speakers now on our channel or podcast! ✨

Introducing ✨Aya Expanse ✨ – an open-weights state-of-art family of models to help close the language gap with AI. Aya Expanse is both global and local. Driven by a multi-year commitment to multilingual research. cohere.com/research/aya

Retrieval-augmented generation (RAG) helps AI systems provide more information to a large language model when generating responses to user queries. A new method for conducting “global” queries can optimize the performance of global search in GraphRAG. msft.it/6018WmEkm

Excited to co-organize our NeurIPS 2025 workshop on Foundation Models for the Brain and Body! We welcome work across ML, neuroscience, and biosignals — from new approaches to large-scale models. Submit your paper or demo! 🧠💪