Luisa Zintgraf
@luisazintgraf.bsky.social
RL & Meta-Learning @ DeepMind.
Excited to share our new paper, "DataRater: Meta-Learned Dataset Curation"!
We explore a fundamental question: How can we *automatically* learn which data is most valuable for training foundation models?
Paper: arxiv.org/pdf/2505.17895 to appear at @neuripsconf.bsky.social
Thread 👇
We explore a fundamental question: How can we *automatically* learn which data is most valuable for training foundation models?
Paper: arxiv.org/pdf/2505.17895 to appear at @neuripsconf.bsky.social
Thread 👇
November 6, 2025 at 11:29 AM
Excited to share our new paper, "DataRater: Meta-Learned Dataset Curation"!
We explore a fundamental question: How can we *automatically* learn which data is most valuable for training foundation models?
Paper: arxiv.org/pdf/2505.17895 to appear at @neuripsconf.bsky.social
Thread 👇
We explore a fundamental question: How can we *automatically* learn which data is most valuable for training foundation models?
Paper: arxiv.org/pdf/2505.17895 to appear at @neuripsconf.bsky.social
Thread 👇
🎉 Our Meta-RL survey is now published in Foundations and Trends in Machine Learning! A deep dive into how agents can learn to learn 🤖🧠
Huge kudos to Jake Beck & Risto Vuorio for leading the charge, and to co-authors Evan Liu, Zheng Xiong, Chelsea Finn & @shimon8282.bsky.social!
Huge kudos to Jake Beck & Risto Vuorio for leading the charge, and to co-authors Evan Liu, Zheng Xiong, Chelsea Finn & @shimon8282.bsky.social!
April 9, 2025 at 9:54 AM
🎉 Our Meta-RL survey is now published in Foundations and Trends in Machine Learning! A deep dive into how agents can learn to learn 🤖🧠
Huge kudos to Jake Beck & Risto Vuorio for leading the charge, and to co-authors Evan Liu, Zheng Xiong, Chelsea Finn & @shimon8282.bsky.social!
Huge kudos to Jake Beck & Risto Vuorio for leading the charge, and to co-authors Evan Liu, Zheng Xiong, Chelsea Finn & @shimon8282.bsky.social!
Wanna work on Gemini? DeepMind is hiring! 🚀
Interested in helping us make Gemini Pro even better?
The Gemini pre-training team is looking for a Research Scientist in London to push the boundaries of LLM scaling: understanding, predicting, and improving. ♊️🚀
Apply here: boards.greenhouse.io/deepmind/job...
The Gemini pre-training team is looking for a Research Scientist in London to push the boundaries of LLM scaling: understanding, predicting, and improving. ♊️🚀
Apply here: boards.greenhouse.io/deepmind/job...
Research Scientist, Large Scale Pre-Training Model
London, UK
boards.greenhouse.io
February 5, 2025 at 8:24 PM
Wanna work on Gemini? DeepMind is hiring! 🚀
Reposted by Luisa Zintgraf
Interested in helping us make Gemini Pro even better?
The Gemini pre-training team is looking for a Research Scientist in London to push the boundaries of LLM scaling: understanding, predicting, and improving. ♊️🚀
Apply here: boards.greenhouse.io/deepmind/job...
The Gemini pre-training team is looking for a Research Scientist in London to push the boundaries of LLM scaling: understanding, predicting, and improving. ♊️🚀
Apply here: boards.greenhouse.io/deepmind/job...
Research Scientist, Large Scale Pre-Training Model
London, UK
boards.greenhouse.io
February 5, 2025 at 8:21 PM
Interested in helping us make Gemini Pro even better?
The Gemini pre-training team is looking for a Research Scientist in London to push the boundaries of LLM scaling: understanding, predicting, and improving. ♊️🚀
Apply here: boards.greenhouse.io/deepmind/job...
The Gemini pre-training team is looking for a Research Scientist in London to push the boundaries of LLM scaling: understanding, predicting, and improving. ♊️🚀
Apply here: boards.greenhouse.io/deepmind/job...