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Excellent points!

Join us at GenAI for Decision Making ICLR workshop tomorrow.

@ #cvpr Tueaday and Wednesday. Happy to chat about Embodied AI and Multimodal FMs.

We've publicly released our DataComp-LM models: Truly open 1B and 7B models that's competitive with state-of-the-art (llama3, qwen2, gemma, ...) on most benchmarks, but with a public training recipe, dataset, and code! (1/3)

🚀 Exciting news! Apple has released its own open-source LLM, DCLM-7B. Everything is open-source, including the model weights and datasets. 💡Why should you be excited? 1. The datasets and tools released as part of this research lay the groundwork for future advancements in

We are hiring! We are looking for accomplished and hands-on researchers to join us. Topics in Multimodal Foundation Models and AI Agents are of particular interest. Feel free to DM me if interested. jobs.apple.com/en-us/details/…

Only in SF.

Attending Neurips Wed -> Fri. Feel free to reach out and connect. We have opening positions for Researchers. You have two posters on Grounding of Agents (neurips.cc/virtual/2024/p…) and Data Filtering for LMs (neurips.cc/virtual/2024/p…) on Friday. Hope to see you there!

Here is an RL perspective on understanding LLMs for decision making. Are LLMs best used as: policies / rewards / transition functions ? How do you fine-tune them ? Can LLMs explore / exploit ? 🧵 Join us down this rabbit hole... (ICLR 2025 paper, done at  ML Research)

If you are at CVPR you are encouraged to visit our work: From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons (lnkd.in/gwrYE7qz), Saturday, 9:00am - 10:15am, Presentation #5, Oral Session 3, Davidson Ballroom World-Consistent Video Diffusion with