Inspiring talk from Katja Hofmann on how we can empower game creators with learned action and world models! The video game generation results look very impressive! At the GenAI for Decision Making workshop #ICLR2024

Check out ‘Dataset Decomposition’, a new paper from the Machine Learning Research team Apple that improves the training speed of LLMs by up to 3x: arxiv.org/abs/2405.13226 Hadi Pouransari et al. #EfficientML #AI #ML #Apple

If you missed the NeurIPS deadline, consider submitting to our RLC 2024 workshop on foundation models for agent training!

As Apple Intelligence is rolling out to our beta users today, we are proud to present a technical report on our Foundation Language Models that power these features on devices and cloud: machinelearning.apple.com/research/apple…. 🧵

Come join our team, and help us investigate AI agents in interactive settings!

Stop discarding your old gradients! Introducing AdEMAMix, a novel (first-order) optimizer capable of outperforming Adam. Let’s have a thread on momentum and the surprising relevance of very old gradients. A joint work with David Grangier and Pierre Ablin #ml #optimization 1/🧵

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

I am looking for strong PhD interns to join Apple MLR late 2024 or early 2025! Topics will be around training large-scale diffusion/flow matching models broadly speaking and you’ll be in the bay area (Cupertino/SF). Apply here: jobs.apple.com/en-us/details/…. [1/5]

I'm recruiting PhD students this year with interest in machine learning, embodied AI, or AI for science! If you are interested in constructing fundamental tools to improve Generative AI and exploring how these tools can be used for intelligent embodied agents and science,

I'm super excited to share a new offline RL benchmark for goal-reaching tasks, led by Seohong Park and Kevin Frans ! Lots of different datasets, excellent code, and well-tuned baseline implementations! Check out the list of research opportunities at the end.

I'm looking for a PhD research intern focused on Speech/NLP to join Apple Machine Learning Research in Copenhagen, Denmark! You can apply via : jobs.apple.com/da-dk/details/… Please share with anyone who might be interested

📢 We have an open position for an AIML resident to come work with Apple MLR in Copenhagen! 🇩🇰 📝 Topic: Personalizing LLM interactions 🗓️ Deadline to apply is December 16 More details in thread 🧵 👇 1/4

Great progress towards general interactive world models! Another reason why you should leverage advances in large generative models for decision making

If you're interested to join our team at  to push the frontier of AI agents, or curious about our group's work, make sure to connect with Alexander Toshev at NeurIPS!

Our latest work studies design choices for training generalist AI agents. We ablate the importance of (1) parameter scaling (2) BC vs offline RL vs online RL and (3) data mixtures on a wide range of interactive tasks.

If you are attending ICLR 2026 , pass by our poster!