Feryal @FeryalMP
Staff Research Scientist @DeepMind & Board of Directors @WiMLworkshop. London Joined November 2011-
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So sad to be missing #ICML2023 (visa delays!), please visit our poster and oral presentation today if you want to learn more about AdA & connect with the team @edwardfhughes @katebaumli @l32zhang @HannahOpenshaw Jakub Sygnowski and Shreya Pathak who are there in person!
So sad to be missing #ICML2023 (visa delays!), please visit our poster and oral presentation today if you want to learn more about AdA & connect with the team @edwardfhughes @katebaumli @l32zhang @HannahOpenshaw Jakub Sygnowski and Shreya Pathak who are there in person!
I totally forgot to post my recent video on AdA: youtu.be/BkWLCrLapQo Check it out if you want to see how @FeryalMP & colleagues successfully scale RL and pave the way towards future RL foundation models. It's some great work!
I am honored to announce Antikythera, a program reorienting computation as a philosophical, technological, and geopolitical force. Antikythera.xyz
I had a tread on RL for real-life problems which was quite popular and received a lot of suggestions. I incorporated all of them on this Notion page. mighty-melody-f4b.notion.site/RL-for-real-wo…
Could machines design new tools for us? With my co-first authors @neuro_kim and @ZePoLiTaT, we are excited to announce "Physical Design using Differentiable Learned Simulators" where we solve complex, physical design problems by differentiating through GNN-based simulators. 1/9
All of mathematics is taught like someone explaining the rules of a board game that you're not playing yet
Students! Applications for DeepMind scholarships at various UK universities are closing soon: @EdinburghUni, @imperialcollege, @Cambridge_Uni, @unibirmingham, @ucl, and @QMUL. Apply now and learn more about our scholarship programme below👇 dpmd.ai/scholarships
Peyman Milanfar @docmilanfar
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68K Followers 8 Following Unlock your child's hidden abilities | designed at the SpaceX lab school | ages 7+We grouped methods along: (sec 3.2) (1) running on-policy rollouts against a reward model learned from pref data (like "offline model-based RL" in RL) [w/ or w/o sample reuse] (2) using a negative gradient: not just maximizing likelihood but also pushing it down (DPO, IPO)
Many LLM fine-tuning methods. Unclear what you should use & why? In our new paper, we did an extensive study of on-policy RL, supervised & offline contrastive methods (DPO, IPO) to answer this... 🧵⬇️ On-policy > offline, mode-seeking > mode-covering understanding-rlhf.github.io
Any feedback and pointers to relevant work would be greatly appreciated. I'm also quite interested to see how well other long context models perform with many-shot learning -- please reach out if you are interested. arxiv.org/abs/2404.11018
We studied In-Context learning with hundreds to thousands of examples. My favorite example: I sent *one million* tokens to Gemini 1.5 Pro for linear classification with 64 dimensional integer-valued vectors and many-shot learning performs similarly to k-Nearest Neighbours.
@bmorphism @avisingh599 @l32zhang @scychan_brains @ankesh_anand @zaheersm_1 @Azade_na @its_ericchu @FeryalMP @AleksandraFaust @hugo_larochelle Only one way to find out ;)
Khipu is amazing ❤️❤️
A whole year has passed since our last KHIPU in Montevideo🇺🇾. Check our memories in this video. And stay tuned for more exciting news for 🥁🥁 KHIPU 2025 🥁🥁 youtube.com/watch?v=AgkARA…
Little lamb having a rest 📹 dartmoorshepherd
Totally agree. Unfortunately for me, the golden hours, where Deepmind work hours in California overlap with work hours in Europe, are during my morning, so my day usually starts with meetings and messages :( Context switching makes it hard to do anything creative or technical.
"In case it isn’t clear, I think that this keynote was by far the most impressive presentation @Google has made in the AI era, not least because the company knows exactly what its advantages are." 🙌❤️ Very proud to have been a part of TK's #GoogleCloudNext keynote, and the…
Text-to-music is having a moment👀 The team behind Udio are some of the brightest and most goal-driven people I've had the pleasure to work with, before they went on to found Uncharted Labs. Amazing to see the fruits of their labour out in the open!
Introducing Udio, an app for music creation and sharing that allows you to generate amazing music in your favorite styles with intuitive and powerful text-prompting. 1/11
super happy to announce that i was awarded an @NSERC_CRSNG discovery grant! 🥳 these funds will go towards the phd students that are starting with me in september in @UMontreal / @Mila_Quebec . super excited to start working with them!
I’m very proud of our team for open sourcing RecurrentGemma. Yes, recurrence is back and it results in huge gains at inference time. Just look at the impressive throughput plot below. For details, please see the paper and GitHub page: Griffin: Mixing Gated Linear Recurrences…
Gemma is expanding.... we just announced CodeGemma, a version of Gemma tuned for code generation. And bonus... Gemma is now bumped to v1.1, addressing lots of feedback we got. Congrats Gemma team for one more amazing release! developers.googleblog.com/2024/04/gemma-…
@NandoDF +1 and MLST special edition on it out soon
This is by far the best non-technical Natural and Artificial Intelligence book anyone could read. This comprehensive, well-researched, crisply clear, sharply focused and illuminating book is a thing of beauty. It is the book I wish I had had when I started my AI career 30 years…
@NandoDF Absolutely, I really enjoyed reading this book as well. I also recommend you to check out Andy Clark's recent book, The Experience Machine: How Our Minds Predict and Shape Reality too. I think you will like it: amazon.com/Experience-Mac…
Making an AI Genie that checks what I'm doing, he's roasting me hard 😭😭
Preprint coming at PSA -new ideas about causal learning and intrinsic empowerment rewards, bridging Bayesian causal learning and reinforcement learning. TLDR hypothesis is that increasing empowerment necessarily increases causal learning and vice-versa. philsci-archive.pitt.edu/23268/