🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

In our new paper, we find that LLMs can efficiently do RLHF in-context! Our method, in-context preference learning (ICPL), iterates LLMs writing reward functions, training agents, and putting preferences into context. We see a 30x boost in query efficiency over baseline RLHF!

Micah's an incredible mentor and one of the most creative early-career AI/ML thinkers out there -- if you're looking for a potential PhD advisor, can't imagine a better choice!

🐞 Check out this zero-shot AI model dataset with 6M images of important species that is vital to farming and environmental research! Learn more: ow.ly/Kzig50TRSaC #ZeroShotLearning #AIModels #AgriculturalTech #EnvironmentalResearch Chinmay Hegde Benjamin Feuer AIIRA - AI Institute for Resilient Agriculture

After careful consideration, I have decided to leave X for BlueSky. I hope to see many of you there with me very soon! Benjamin.bsky.social

If AI isn’t truly open, it will fail us. We can’t close in a black box our greatest invention yet just so that a few can freely monetize. AI needs its Linux moment, and so we started working towards it. This can only succeed if we all work together! #oumi #opensource

Oumi is a fully open-source platform to help you build state-of-the-art foundation models, end-to-end.

Oumi:build state-of-the-art foundation models, end-to-end. Oumi is a fully open-source platform designed to train, evaluate, and deploy foundation models end-to-end. It supports models from 10M to 405B parameters, enabling fine-tuning using LoRA, QLoRA, DPO, and other

📢 Announcing our data-centric workshop at ICML 2025 on unifying data curation frameworks across domains! 📅 Deadline: May 24, AoE 🔗 Website: dataworldicml2025.github.io We have an amazing lineup of speakers + panelists from various institutions and application areas.

Many agents (Claude Code, Codex CLI) interact with the terminal to do valuable tasks, but do they currently work well enough to deploy en masse? We’re excited to introduce Terminal-Bench: An evaluation environment and benchmark for AI agents on real-world terminal tasks. Tl;dr

📣We are extending our deadline to May 31st!📣 Looking forward to seeing everyone's submissions :)

Announcing OpenThinker3-7B, the new SOTA open-data 7B reasoning model: improving over DeepSeek-R1-Distill-Qwen-7B by 33% on average over code, science, and math evals. We also release our dataset, OpenThoughts3-1.2M, which is the best open reasoning dataset across all data

New research paper for you to read over your July 4th break (if you're US-based) -- Vision is a skeleton key! 🗝️ We convert a small VLM into an "everything classifier" by transforming data into visualizations that VLMs can naturally understand and reason about. We call it