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What if LLM Agents could navigate the visual web just like humans do? Lecture 6 (Russ Salakhutdinov Carnegie Mellon University Meta) explored multimodal autonomous AI agents with huge potential to automate complex, visually rich web tasks! 🔥🧵 1/7 Multimodal Autonomous AI agents combine Large

Introducing our first set of Llama 4 models! We’ve been hard at work doing a complete re-design of the Llama series. I’m so excited to share it with the world today and mark another major milestone for the Llama herd as we release the *first* open source models in the Llama 4

And so it begins... llama.com/4

Llama4 models are out! Open sourced! Check them out: “Native multimodality, mixture-of-experts models, super long context windows, step changes in performance, and unparalleled efficiency. All in easy-to-deploy sizes custom fit for how you want to use it” llama.com

As of today, Llama 4 Maverick offers a best-in-class performance to cost ratio with an experimental chat version scoring ELO of 1417 on LMArena. It's wild to think Llama was a research project a couple of years ago & amazing to see how much progress we've made in the last two

The first set of Llama 4 models are here! I'm proud to be part of a team that's supporting open science. And though these models are really cool, I'm most excited to see what other people do with it. This is going to be a very exciting year ;)

Cool

Copilot Arena: A Platform for Code – Machine Learning Blog | ML@CMU | Carnegie Mellon University blog.ml.cmu.edu/2025/04/09/cop…

🌏 Building web-scale agents, and tired of Math and Coding tasks? Come chat with us at ICLR in Singapore. We are presenting InSTA at the DATA-FM workshop in the second Oral session, April 28th 2:30pm. InSTA is the largest environment for training agents, spanning 150k live

Carnegie Mellon University at ICLR 2025 – Machine Learning Blog | ML@CMU | Carnegie Mellon University blog.ml.cmu.edu/2025/04/23/car…

Wow, Hugo Larochelle, are you planning to come back to academia?

Building LLM Agents? Come to my talk at the #ICLR DATA-FM workshop today at 2:30pm, Hall 4, Section 4. I'll be presenting InSTA, our work building the largest environment for agents on the live internet. arxiv.org/abs/2502.06776 #Agents #LLM

New work on automated prompt engineering for personalized text-to-image generation: PRISM: Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation Paper + Code: kellyyutonghe.github.io/prism/ Prompt engineering for personalized image generation is

I had an inspiring visit to MBZUAI, where I had a few deep conversations with brilliant graduate students and faculty. What an extraordinary institution. Congratulations to Eric Xing for establishing a world-class AI university in such a short time — truly impressive! And huge

First time visiting Univ. of Maryland. Such a beautiful campus!

RL with verifiable reward has shown impressive results in improving LLM reasoning, but what can we do when we do not have ground truth answers? Introducing Self-Rewarding Training (SRT): where language models provide their own reward for RL training! 🧵 1/n

Holy cow! It has been over 10 years - no way! Feels like I was giving this tutorial just a few years ago.

Incredibly excited to share that Neural MP got accepted to IROS as an Oral presentation!! Huge congrats to the whole team (Jiahui(Jim) Yang, Russell Mendonca , youssef khaky, Russ Salakhutdinov, Deepak Pathak), but especially Jiahui(Jim) Yang for making this happen after I graduated! This now