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Join us today for InstaDeep IndabaX event! 🚀🚀🚀

And we think "transformers" are complex!

Not a great first day for Sub Inspector Max Verstappen. #MaxVerstappen #InspectorSeb #Brazilgp #LewisHamilton

Very very dignified from Lewis Hamilton

This sport is unbelievable sometimes 🤯

My thoughts on yesterday’s finish… Neither driver deserved to lose that title yesterday. Both have been outstanding this year but ultimately we must all congratulate Max Verstappen on his first World Championship 👏🏽👏🏽

Incredible news for InstaDeep and African AI! 🤩🌍

🔥New Video w/ exclusive authors interview🔥 What if we treated deep networks like modular programs? Neural Interpreters divide computation into small modules and route data to them via a dynamic type inference system.🖥️ Watch here to learn more: youtu.be/w3knicSHx5s

InstaDeep raised 100M USD! Our Series B is led by aicapital.ai the expert Deep Tech fund specialized in AI together with CDIB. Investors include BioNTech SE Chimera Capital Holding | شيميرا كابيتال هولدينج Deutsche Bahn Personenverkehr Google G42 and Synergie. In many ways a milestone bit.ly/3H7EAdS 1/N

Incredible news for InstaDeep 🤩 Congratulations all! We are also hiring! instadeep.com/about-us/caree…

Come and speak to us about BioAI at InstaDeep!🧬🚀

Intense run this morning with Karim Beguir and Nicolas Lopez Carranza along the beautiful Lake of Tunis 🏃 Best way to start the last day of Deep Learning Indaba #DLIndaba2022

Our mission to build AI that benefits everyone just took a giant leap forward! BioNTech SE is to acquire InstaDeep in a £362M deal🚀to accelerate AI-driven discovery, design & development of next-gen immunotherapies & vaccines at global scale!🌍1/N bit.ly/3VW5GLn

We’re happy to share our latest work in collaboration with NVIDIA and TU München on developing large language models (#LLMs) 💬 for multiple #genomic prediction tasks, leveraging the Cambridge-1 supercomputer 🧬💻 1/N bit.ly/3Xv33By

(1) LLMs are ubiquitous, but what are the challenges requiring further research and in where have LLMs successfully been applied? In our new paper, Challenges and Applications of Large Language Models, we answer these questions comprehensively. 📚: arxiv.org/abs/2307.10169

Very fortunate to have received the third-place paper award of ARC Prize with Matthew Macfarlane!! 🏆 Amazing efforts from François Chollet Mike Knoop and the team to have made working on ARC-AGI such a success 🔥 Excited for 2025!!

Anyway, glad to see that the whole "let's just pretrain a bigger LLM" paradigm is dead. Model size is stagnating or even decreasing, while researchers are now looking at the right problems -- either test-time training or neurosymbolic approaches like test-time search, program

After attending ICLR I too have fallen to the dark side. RL is the way 🫡