We are super happy about this milestone - a great validation for our three-year-long project Polybot that we are on the right track towards a future in farming automation that can scale up novel regenerative farming practices!
25.02.2025 16:54 — 👍 1 🔁 0 💬 0 📌 0
New preprint out! 🎉
How does LLM training loss translate to downstream performance?
We show that pretraining data and tokenizer shape loss-to-loss scaling, while architecture and other factors play a surprisingly minor role!
brendel-group.github.io/llm-line/ 🧵1/8
18.02.2025 14:09 — 👍 18 🔁 8 💬 1 📌 2
Just realise that the answer is still from Grok 2, so maybe Grok 3 gives a very different answer.
18.02.2025 10:10 — 👍 0 🔁 0 💬 0 📌 0
CuratedThoughts: Data Curation for RL Datasets 🚀
Since DeepSeek-R1 introduced reasoning-based RL, datasets like Open-R1 & OpenThoughts emerged for fine-tuning & GRPO. Our deep dive found major flaws — 25% of OpenThoughts needed elimination by data curation.
Here's why 👇🧵
17.02.2025 18:22 — 👍 13 🔁 9 💬 1 📌 1
I get pretty much exactly the same balanced answer as you, the original post seems to be fake.
17.02.2025 18:54 — 👍 1 🔁 0 💬 1 📌 0
Let’s shape the future of AI & education together! 🔥 #AI #MachineLearning #EdTech #Hiring
👉 forms.gle/sxvXbJhZSccr...
11.02.2025 16:34 — 👍 1 🔁 0 💬 0 📌 0
We work closely with amazing collaborators at @tuebingen-ai.bsky.social (@bethgelab.bsky.social), the Hector Research Institute of Education & Psychology (Ulrich Trautwein), the Tübingen Center for Digital Education (Andreas Lachner), @iwmtue.bsky.social (Ulrike Cress) & KI macht Schule (@stes.io).
11.02.2025 16:34 — 👍 1 🔁 0 💬 1 📌 0
🔹Several Full-time ML roles (2–3 years)
🔹Work in a top-tier AI research environment
🔹Focus on concrete, real-world impact in schools
🔹Open to on-site, hybrid & remote
👉 forms.gle/sxvXbJhZSccr...
11.02.2025 16:34 — 👍 1 🔁 0 💬 1 📌 0
Hiring announcement: ELLIS Institute Tübingen is looking for ML Researchers & Engineers for Open-Source AI Tutoring (m/f/d). The image features a white background with bold black text and the colorful ELLIS logo at the bottom.
🚀 We’re hiring! Join Bernhard Schölkopf & me at @ellisinsttue.bsky.social to push the frontier of #AI in education!
We’re building cutting-edge, open-source AI tutoring models for high-quality, adaptive learning for all pupils with support from the Hector Foundation.
👉 forms.gle/sxvXbJhZSccr...
11.02.2025 16:34 — 👍 8 🔁 14 💬 1 📌 1
Does anyone know how OpenAI gets o3-mini to exceed 700 tokens/sec? I’ve only seen such speeds on specialized chips from @cerebrassystems.bsky.social, @sambanova.bsky.social, or @groq.com—but not on standard Nvidia GPUs, which I assumed power OpenAI’s inference.
11.02.2025 15:57 — 👍 0 🔁 0 💬 0 📌 0
As many areas, science itself will be transformed by AI. We have now released a state-of-the-art survey on this emerging field. We discuss methods and tools for AI-enhanced search, ideation, experimentation, content generation and peer review.
arxiv.org/pdf/2502.05151
10.02.2025 08:09 — 👍 32 🔁 10 💬 1 📌 1
Careers
Join the Tübingen AI Center and shape the next generation of robust, efficient and accountable machine learning systems.
🏹 Job: The Tübingen AI Center, a partner in the OpenEuroLLM project, is seeking a Scientific Project Coordinator to oversee efforts in developing open-source, trustworthy foundation models and leading community engagement.
📍 Tübingen
📅 Apply by March 3rd, 2025
📌 Get details: tuebingen.ai/careers
10.02.2025 15:16 — 👍 16 🔁 3 💬 0 📌 0
📢 Join our Bundeswettbewerb Künstliche Intelligenz (BWKI) at Didacta 2025 in Stuttgart!
From tomorrow, February 11, to Saturday, February 15, the Didacta education fair will take place in Stuttgart:
📍 Find BWKI in Hall 7, Stand 7D75 as part of the AI & Digital Workshop area - workshops offered!
10.02.2025 16:00 — 👍 5 🔁 1 💬 0 📌 0
math + writing + videos
www.youtube.com/@chalktalkmath
www.kelseyhoustonedwards.com
PhD Student in Causality & ML - combining 💻 & 🧬 @StegleLab | Runner | Big & Little Brother
❓Wie können #digitaleMedien eingesetzt werden, um Wissensprozesse zu verbessern? 🌐🧑💻📲 Wir forschen zu #Wissenserwerb mit digitalen Medien und helfen, das #Verstehen besser zu verstehen. ✅ https://www.iwm-tuebingen.de/impressum
Postdoctoral Research Scientist in Statistics at Columbia University
PhD student working on understanding why neural nets generalize @MPI Tübingen | ex-Vector | path2phd.substack.com | 🇭🇺 🇪🇺
PhD student @ Tübingen. Advesarial ML, AI Safety.
PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
PhD student at MIT CSAIL; previously at MPI-IS Tübingen, Mila, NVIDIA HK, CUHK MMLab. Interested in robustness: https://chinglamchoi.github.io/cchoi/.
Computer Vision Engineer at Meta. OpenPifPaf. Previously at Sidewalk Labs (Alphabet). PhD in Higgs discovery.
www.svenkreiss.com
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
The 🦋 account of the Graphcore Research team.
Our mission is to contribute to the advancement of AI research and understand the computational requirements of intelligence.
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev)
https://andrewilyas.com
OpenAI and MIT faculty (on leave)
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA
🔗 karroth.com
Energy, Climate & Machine Learning (She/ Her)
Research Group Leader ML in Sustainable Energy Systems, Uni Tübingen
https://www.mlsustainableenergy.com/
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
Research Scientist at Apple for uncertainty quantification.