RLHF and Alignment Experts

A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef Writes http://interconnects.ai At Ai2 via HuggingFace, Berkeley, and normal places

Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky

Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning. Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦 For more info: https://linktr.ee/sharky6000

ML researcher and former statistics professor turned research engineer. Author of “Build a Large Language Model From Scratch” (https://amzn.to/4fqvn0D). AI research blogger at https://magazine.sebastianraschka.com.

Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io

Postdoc in NLP/AI at the Allen Institute for AI & the University of Washington. ✨I am on the academic job market for faculty positions! Interested in LLM post-training, RL for NLP, semantics & pragmatics. 🌐 https://valentinapy.github.io

Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Incoming Faculty Researcher, Google DeepMind. Probabilistic methods for robust and transparent ML & AI Policy. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com

I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.

PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.

Building generally intelligent agents - AI, ML, RL, Robotics @Unity3d

Postdoc at Princeton PLI. Formerly PhD at Stanford CS. Working on behavioral machine learning. https://kawine.github.io/