Frontier AI Data Lab advancing AI through better data
Shorts
🤿 ICYMI: Agents don’t learn in the abstract — they learn by interacting with environments. This post on RL environments is more relevant than ever as agents move into production and evaluation gets harder.
1,694,092 次观看
We’re incredibly excited to launch Open Benchmarks Grants, a new program committing $3M in grants to fund new open source benchmarks advancing agentic AI. We’re partnering up with Hugging Face, Together AI, Prime Intellect, Factory HQ, Harbor Framework, and PyTorch to support academic and open-source teams as they define and advance the AI frontier.
664,976 次观看
Join us for late-afternoon 🧋 boba and research in SF. Details/RSVP: Carter Wendelken of Google DeepMind will present and lead a discussion on two related works he recently presented ICLR: “AutoHarness: Improving LLM Agents by Automatically Synthesizing a Code Harness" and "Code World Models for General Game Playing."
