We just released N-ATLAS v1 — Nigeria’s open-source, multilingual & multimodal Large Language Model — on the sidelines of #UNGA80 in New York.
Starting with Yoruba, Hausa, Igbo and Nigerian-accented English, N-ATLAS places Africa’s voices and diversity at the foundation of AI.…
Our image editing model is now rolling out in @GeminiApp - and yes, it’s 🍌🍌. Top of @lmarena’s image edit leaderboard, it’s especially good at maintaining likeness across different contexts. Check out a few of my dog Jeffree in honor of International Dog Day - though don’t let…
Congrats to Eric and the team at @genspark_ai for launching Genspark AI Developer!
It's a zero-setup, complete IDE that runs in your browser, like Replit. You describe what you want, you get visual feedback and you and iterate on the output.
You can pick your model (e.g. Claude…
Introducing DINOv3: a state-of-the-art computer vision model trained with self-supervised learning (SSL) that produces powerful, high-resolution image features. For the first time, a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense…
is it possible to pretrain a language model using pure reinforcement learning from scratch?
random weights, no cross-entropy loss pretraining.
you may have many questions in your head.
RLVR/RLHF libraries:
• verl - ByteDance
• TRL - HuggingFace
• slime - Zhipu AI
• prime-rl - Prime Intellect
• ROLL - Alibaba
• Nemo-RL - NVIDIA
• AReaL - Ant Research
• SkyRL - UC Berkeley
• open-instruct - Allen AI
• torchtune - PyTorch
Any I am missing? Which do you…
Mastercard Foundation + Arizona State University 2026 Innovation and Technology Scholarship Application - for citizens of African countries
🎓 Scholarship Covers:
✅ Full tuition
✅ Visa & travel costs
✅ On-campus housing
✅ Leadership development + internship support…
1/ μP is optimal scaling rule of learning rate & init as network width → ∞. Been confused?
🆕μP = holding the "natural" (I'll explain) operator
norm constant for every weight W & its updates ΔW:
μP <=> ‖W‖_nat = Θ(1) = ‖ΔW‖_nat.
🆕Frobenius norm is the wrong norm to measure!
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