the best researchers from Meta, Yale, Stanford, Google DeepMind, and Microsoft laid out all we know about Agents in a 264-page paper [book], here are some of their key findings:

Everyone working in a STEM field should read this - ‘writing is thinking’ nature.com/articles/s4422…

Back in grad school, when I realized how the “marketplace of ideas” actually works, it felt like I’d found the cheat codes to a research career. Today, this is the most important stuff I teach students, more than anything related to the substance of our research. A quick

My Reinforcement Learning (RL) & Agents 3 hour workshop is out! I talk about: 1. RL fundamentals & hacks 2. "Luck is all you need" 3. Building smart agents with RL 4. Closed vs Open-source 5. Dynamic 1bit GGUFs & RL in Unsloth AI 6. The Future of Training youtube.com/watch?v=OkEGJ5…

Pleased to share that my research has reached 100 citations. Since 2020, I’ve published across NLP (Bangla QA/QG, LLM evaluation), AI policy in the Global South, and HCI. Grateful for every collaboration and experience. Looking forward to starting my PhD journey.

I’ve noticed people who have good creative ideas usually know tons of things. Good researchers have read a lot of papers. Good musicians have listened to a lot of songs. Not only that, they generally have strong opinions about what’s good/bad out there. I wonder why? I

Sorry for the wait, the AtCoder finals write-up is finally here! I got overambitious and described my entire experience. I hate writing long articles, so I hope all of you will enjoy this. Since this place is not what it used to be, the link is⬇️

BREAKING NEWS! Most people aren’t prompting models with IMO problems :) They’re prompting with tasks that need more context, like “plz make talk slides.” In an ACL oral, I’ll cover challenges in human-LM grounding (in 60K+ real interactions) & introduce a benchmark: RIFTS. 🧵

Fuck ML tutorials. This is a collection of 300 ML system design case studies in real world, from Stripe, Spotify, Netflix, Meta, etc. Perfect for interviews and to learn how it’s done in the battlefield. Wish there was a similar thing for agents!

no one asked for a list of every AI evals question ever, but Hamel made it anyway 🤯

🧵When training reasoning models, what's the best approach? SFT, Online RL, or perhaps Offline RL? At KRAFTON AI and SK telecom, we've explored this critical question, uncovering interesting insights! Let’s dive deeper, starting with the basics first. 1) SFT SFT (aka hard

Thrilled! 🎉 Our Google-funded paper “Meena Needs a Computer” is accepted to TOCHI! It was my first HCI paper at DIAL Lab, NSU! Big thanks to Dr. Nova Ahmed, my co-authors & Dr. Nic Bidwell for the amazing feedback & support.

MIT literally packed 7 hours with everything you need to know about Gen AI for free

UC Berkeley's "Introduction to Mathematical Thinking" Lecture videos & slides: imt-decal.org

in light of claude hitting 1M context here is a 27min video showing how bonker insane it is in it I review most strategies from interpolation to chunking to linearization to hybridization to making gpu go brrbrr to just pray for Nikolai Savinov to make it happen please god

I am sharing a podcast describing my ”Convex Optimization Theory” book from 2009: notebooklm.google.com/notebook/d69a4… The .pdf copy of the book can be found at web.mit.edu/dimitrib/www/C… and includes a 180-pages supplement of mathematical optimization exercises with detailed solutions

Are frontier AI models really capable of “PhD-level” reasoning? To answer this question, we introduce FormulaOne, a new reasoning benchmark of expert-level Dynamic Programming problems. We have curated a benchmark consisting of three tiers, in increasing complexity, which we call

I am (slowly) re-reading the Tolkien legendarium (of which Lord of the Rings is a small part). The whole body of work is so incredible and there's nothing else like it... it dilutes other worlds of fiction. Wait - your story doesn't have a comprehensive history/mythology spanning

Wow