There are a lot of hours in a day, plenty to get stuff done if you focus.

Up there

De ma vie je n’ai jamais abandonné mais ce soir il faut que je pense à l’équipe comme je l’ai toujours fait alors la raison me dit de laisser ma place à quelqu’un qui pourra aider notre groupe à faire une belle Coupe du Monde. Merci pour tous vos messages de soutien 🙌🏼❤️

🇲🇦 x 🇫🇷 #FRAMAR #FIFAWorldCup

ChatGPT for biology? Excited to share our work on LLMs for protein design out today Nature Biotechnology nature.com/articles/s4158… + Proud to publicly announce Profluent with a $9M seed round to tackle meaningful challenges in biology with AI. Join us!

Recently, we’ve highlighted several fastMRI updates that were made possible by PyTorch. Are you interested in working with the fastMRI datasets or reproducing the papers to help improve medical science research? Check out our GitHub repository! github.com/facebookresear…

Announcing the launch of the MedARC! MedARC is a novel, open, & collaborative approach to medical AI research. It was created to develop large-scale AI models for medicine & build interdisciplinary teams to address clinical needs. (1/10) medarc.ai/blog/announcem…

Announcing the launch of a new research organization supported by Stability AI! MedARC will focus on development of foundation models for medical AI research. x.com/MedARC_AI/stat…

Delight to announce our new article accepted at #ICASSP2023: Stabilising and accelerating light gated recurrent units for automatic speech recognition. Co-author: @parcollett Code: github.com/Adel-Moumen/fa… Paper: arxiv.org/abs/2302.10144

Exciting news! SpeechBrain version 1.0 is finally out! 🎉 Thanks the community, thanks to our amazing core team, and thanks to the sponsors! 🔥

2️⃣ places à gagner pour #OMOGCN ! 🎁 💙 Like + RT 💬 Commente #OMOGCN en reply 📸 par ozarm13 (IG)

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data. arxiv.org/abs/2409.17055

New video on distributed training is out ! This time you will learn the theory behind Tensor Parallel and how to implement it yourself in Picotron ! Link of the video below 🧵

This is a very big milestone! 🚀 Foundational models are the key to the future of robotics—just as LLMs transformed language, a similar moment is beginning for robotics. The first step is building strong, versatile robotic models like π₀ 🤖, then fine-tuning them for a wide

🚀 Excited to release *THE* Ultra-Scale Playbook - a comprehensive guide on training LLMs from 1 to 1000s of GPUs!