Tim G. J. Rudner @timrudner
Faculty Fellow at NYU. Trustworthy (safe x transparent x fair) ML. I'm on the faculty job market. Prev: PhD Student & Rhodes Scholar at University of Oxford. timrudner.com NYC + New Haven Joined December 2015-
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CDS’ @timrudner & Julia Stoyanovich (@stoyanoj) join the national effort to set standards for AI safety with the U.S. AI Safety Institute Consortium. “The stakes are high. And it’s important to get this right,” said Rudner. Learn more: nyudatascience.medium.com/cds-tim-g-j-ru…
Seems good! time.com/6962503/ai-art…
Just dropped a 4 hour lecture on "Large Language Models": youtu.be/2yjzZfDQxy8 0:00 Basics of language models 2:30 Word2vec 16:27 Transfer Learning 19:23 BERT 1:00:39 T5 1:31:14 GPT1-3 1:53:05 ChatGPT 2:20:03 LLMs as Deep RL 2:53:00 Policy Gradient 3:32:50 Train your…
Seems like everyone wants to know more about how large language models work, but existing explainers often: -Are too shallow or too technical -Focus on how LLMs predict the next word, which is only part of the story So we wrote 3 explainers of our own! 🧵 cset.georgetown.edu/article/the-su…
Making a good benchmark may seem easy---just collect a dataset---but it requires getting multiple high-level design choices right. @Thomas_Woodside and I wrote a post on how to design good ML benchmarks: safe.ai/blog/devising-…
In this work we construct the first nonvacuous generalization bounds for LLMs, helping to explain why these models generalize. w/ @LotfiSanae, @KuangYilun, @timrudner @micahgoldblum, @andrewgwils arxiv.org/abs/2312.17173 A 🧵on how we make these bounds 1/9
📢 We obtained the **first non-vacuous generalization bounds** for pre-trained LLMs! 🚀🤖 Check out our paper (📄: arxiv.org/abs/2312.17173) and @micahgoldblum's excellent thread 🧵below:
📢 We obtained the **first non-vacuous generalization bounds** for pre-trained LLMs! 🚀🤖 Check out our paper (📄: arxiv.org/abs/2312.17173) and @micahgoldblum's excellent thread 🧵below: https://t.co/naaKzCE1lZ
📢 We obtained the **first non-vacuous generalization bounds** for pre-trained large language models! 🚀🤖 Check out our paper (arxiv.org/abs/2312.17173) and @LotfiSanae's excellent thread 🧵 below:
📢 We obtained the **first non-vacuous generalization bounds** for pre-trained large language models! 🚀🤖 Check out our paper (arxiv.org/abs/2312.17173) and @LotfiSanae's excellent thread 🧵 below:
🚨 Model-based methods for offline RL aren’t working for the reasons you think! 🚨 In our new work, led by @anyaasims, we uncover a hidden “edge-of-reach” pathology which we show is the actual reason why offline MBRL methods work or fail! Let's dive in! 🧵 [1/N]
Please apply if you are a UK undergraduate from under-represented backgrounds interested in exploring what a career in AI research is like. Deadline Feb 17! @GoogleDeepMind has kindly supported the AI internship projects @uniqplusoxford, thank you!
Please apply if you are a UK undergraduate from under-represented backgrounds interested in exploring what a career in AI research is like. Deadline Feb 17! @GoogleDeepMind has kindly supported the AI internship projects @uniqplusoxford, thank you!
To help make models more robust and defend against misuse, we created HarmBench, an evaluation framework for automated red teaming and testing the adversarial robustness of LLMs and multimodal models. 🌐 harmbench.org 📝 arxiv.org/abs/2402.04249
[#eacl2024 paper] TL;DR We introduce 𝗴𝗿𝗮𝗱𝗶𝗲𝗻𝘁-𝗯𝗮𝘀𝗲𝗱 𝗿𝗲𝗱 𝘁𝗲𝗮𝗺𝗶𝗻𝗴 (𝗚𝗕𝗥𝗧), an effective method for triggering language models to produce unsafe responses, even when the LM is finetuned to be safe through 𝑎𝑙𝑖𝑔𝑛𝑚𝑒𝑛𝑡.
MLHC 2024 Cfp is out! Submission deadline is April 9, 2024. We're switching to OpenReview this cycle and the submission site will open soon. Stay tuned!
MLHC 2024 Cfp is out! Submission deadline is April 9, 2024. We're switching to OpenReview this cycle and the submission site will open soon. Stay tuned!
State Space Models: A Modern Approach This is an interactive textbook on state space models (SSM) using the JAX Python library. probml.github.io/ssm-book/root.…
"User-friendly Introduction to PAC-Bayes bounds" is now published: nowpublishers.com/article/Detail… Thanks a lot for all the feedback on the first version I posted on arXiv some time ago 🙏 I'll be teaching a course on this topic at SSML 2024 @OISTedu groups.oist.jp/mlss
I'm hiring! I'm building 4 research groups under me at AISI (formerly the UK's Taskforce on Frontier AI) to work on foundational AI safety research. [1/5] gov.uk/government/pub…
Excited to share that my book on technological revolutions and power transitions will be published in @PrincetonUPress in August. Available to preorder ($30 paperback): - amazon.com/Technology-Ris… - bookshop.org/p/books/techno…
We have now completed our analysis of new materials reported in the Google Deepmind / Berkeley autonomous lab paper. My own initial analysis is in the quote tweet. Happy to have worked with @SchoopLab to jointly put together a comprehensive analysis, now available on @ChemRxiv.…
We have now completed our analysis of new materials reported in the Google Deepmind / Berkeley autonomous lab paper. My own initial analysis is in the quote tweet. Happy to have worked with @SchoopLab to jointly put together a comprehensive analysis, now available on @ChemRxiv.…
I'm hiring visiting students/RAs for Summer 2024! ☀️ Focus: scaling unsupervised RL & understanding emergent properties. 🚀 Who: PhD, MS, rising undergrad seniors w/ prior research experience. Apply by emailing me a resume. Details below👇
New YouTube video! Diffusion models are awesome! But how do they actually work? 🤔 Check out the video and learn with me! youtube.com/watch?v=i2qSxM…
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