Sachin Gururangan (@ssgrn) 's Twitter Profile
Sachin Gururangan

@ssgrn

he/him
Research scientist 🦙 Llama team, @meta GenAI
PhD @uwcse + @uwnlp

ID: 416861161

linkhttp://suchin.io calendar_today20-11-2011 07:00:02

952 Tweet

5,5K Followers

249 Following

Sachin Gururangan (@ssgrn) 's Twitter Profile Photo

Oh, one more thing! Our new Llama license allows the outputs of the Llama 3.1 models to improve any other model. So, go nuts :)

Emily Dinan (@em_dinan) 's Twitter Profile Photo

as my other amazing teammates have already shared, check out our llama 3.1 paper here! lots of fun tidbits about the highs, lows, sweat, and tears that go into training LLMs lol ... onto llama 4!!! ai.meta.com/research/publi…

Sachin Gururangan (@ssgrn) 's Twitter Profile Photo

Excited to give a talk at this workshop! I’ll discuss continual learning in llama 3 posttraining, and directions we’re excited about for llama 4 and beyond.

Nando de Freitas (@nandodf) 's Twitter Profile Photo

The Llama 3 paper is a must-read for anyone in AI and CS. It’s an absolutely accurate and authoritative take on what it takes to build a leading LLM, the tech behind ChatGPT, Gemini, Copilot, and others. The AI part might seem small in comparison to the gargantuan work on *data*

Sachin Gururangan (@ssgrn) 's Twitter Profile Photo

2025 internship opps on the Llama team are now live! Feel free to reach out, especially if you’re excited about working on problems in post-training world (eg ranking/judges, reasoning, or all things synthetic data)! Lots of fun things to explore :) metacareers.com/jobs/111868362…

Sachin Gururangan (@ssgrn) 's Twitter Profile Photo

New paper by our intern Yue Yu! We use synthetic data to teach reward models to generate rationales for their scalar outputs. Our technique makes RMs less of a black box, more powerful, and more data efficient. Check it out!

Sachin Gururangan (@ssgrn) 's Twitter Profile Photo

Check out the newest member of the "Branch-Train" family -- BTS (or, you know, your favorite k-pop boy band)! We introduce "stitch layers", a new architecture to combine expert LLMs with a small amount of training. Amazing work led by our intern Qizhen (Irene) Zhang !!

Jascha Sohl-Dickstein (@jaschasd) 's Twitter Profile Photo

I will be attending ICML next week. Reach out (by email) if you'd like to chat! About Anthropic / research / life. I'm especially interested in meeting grad students who can teach me new research ideas.

Neil Houlsby (@neilhoulsby) 's Twitter Profile Photo

📣 Anthropic Zurich is hiring again 🇨🇭 The team has been shaping up fantastically over the last months, and I have re-opened applications for pre-training. We welcome applications from anywhere along the "scientist/engineer spectrum". If building the future of AI for the

Ioana Marinescu (@mioana) 's Twitter Profile Photo

Excited to share that Anthropic has launched its Economic Futures Program! As a member of their Economic Advisory Council, I’m thrilled about this initiative supporting research and policy development on AI’s economic impacts. Research grants up to $50K available!

Excited to share that <a href="/AnthropicAI/">Anthropic</a> has launched its Economic Futures Program! As a member of their Economic Advisory Council, I’m thrilled about this initiative supporting research and policy development on AI’s economic impacts.
Research grants up to $50K available!
Jack Lindsey (@jack_w_lindsey) 's Twitter Profile Photo

We're launching an "AI psychiatry" team as part of interpretability efforts at Anthropic!  We'll be researching phenomena like model personas, motivations, and situational awareness, and how they lead to spooky/unhinged behaviors. We're hiring - join us! job-boards.greenhouse.io/anthropic/jobs…

Drew Bent (@drew_bent) 's Twitter Profile Photo

Today we're releasing new Anthropic research on how educators use AI, analyzing ~74,000 conversations from professors using Claude in collaboration with Northeastern University. 4 initial findings… #1 Educators are builders, not just users of AI. Faculty are creating

Today we're releasing new <a href="/AnthropicAI/">Anthropic</a> research on how educators use AI, analyzing ~74,000 conversations from professors using <a href="/claudeai/">Claude</a> in collaboration with Northeastern University.

4 initial findings…

#1 Educators are builders, not just users of AI. Faculty are creating