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I fucking love CMU. Looking through the course catalog, there's like >25 courses that cover LLMs and topics on the frontier of AI. This is what happens when you give Machine Learning, Language Technology, Robotics, etc their own entire departments, as god intended 🫡

Looks like I found the first paper that talked of Language Model Quantization ???? isca-archive.org/eurospeech_200…

People think my job is juggling equations and shit, but in reality 80% of my focus time is spent reducing memory usage one way or another.

Excited to share that the Machine Learning and Optimization team at Google DeepMind India is hiring Research Scientists and Research Engineers! If you're passionate about cutting-edge AI research and building efficient, elastic, and safe LLMs, we'd love to hear from you. Check

Hiked the Pine Crest Trail today till the Iceberg and Ediza Lakes ...

Google presents Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning Achieves 5 − 6× gain in sample efficiency, 1.5 − 5× more compute-efficiency, and > 6% gain in accuracy, over ORMs on test-time search arxiv.org/abs/2410.08146

🚨 Exciting new results with dense process reward models (PRMs) for reasoning. Our PRMs scale ✅ search compute by 1.5-5x ✅ RL sample efficiency by 6x ✅ 3-4x ⬆️ accuracy gains vs prior works ❌ human supervision What's the secret sauce 🤔?: See 🧵 ⬇️ arxiv.org/pdf/2410.08146

🚨New paper led by Amrith Setlur on process rewards for reasoning! Our PRMs that model specific notion of "progress" reward (NO human supervision) improve: - compute efficiency of search by 1.5-5x - online RL by 6x - 3-4x vs past PRM results arxiv.org/abs/2410.08146 How? 🧵👇

My student's paper was accepted in NeurIPS Conference workshop but the CanadianPM authorities denied his visa saying that he doesn't have ties outside Canada (his entire family is in India) and that attending the most important machine learning conference isn't legitimate business. 😭

Yep. I have been waiting for my green card for like the last 3 years. Still haven’t gotten it. People mostly have no idea when they talk about immigration.

Not bad Jeff Buckley, not bad. youtube.com/watch?v=1lkWgp…

✨I’m on the faculty job market for 2024-2025! ✨ My research focuses on advancing Responsible AI—enhancing factuality, robustness, and transparency in AI systems. I’m at #EMNLP2024 this week🌴 and would love to chat about research and hear any advice!

Check out our team's new research on the impact of AI for Global Health lead by the awesome Mercy Nyamewaa Asiedu, Ph.D & Awa Dieng !

Many years ago a certain Sir Humphrey and Jim Hacker from a certain Department of Administrative Affairs were tasked to reduce government inefficiency. I'm sure today they are proud of their cousins across the pond continuing their timeless legacy.

Not just one point, infinitely many.

Excited to share 𝐈𝐧𝐟𝐀𝐥𝐢𝐠𝐧! Alignment optimization objective implicitly assumes 𝘴𝘢𝘮𝘱𝘭𝘪𝘯𝘨 from the resulting aligned model. But we are increasingly using different and sometimes sophisticated inference-time compute algorithms. How to resolve this discrepancy?🧵

Google DeepMind Researchers Introduce InfAlign: A Machine Learning Framework for Inference-Aware Language Model Alignment Researchers at Google DeepMind and Google Research have developed InfAlign, a machine-learning framework designed to align language models with

Buffalo sauce I ❤️ you 🇺🇸