autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training autotrust • 6 days ago • 59
autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model autotrust • 9 days ago • 57
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs allenai • 4 days ago • 24
YODAS v3: A 1 Million Hour Dataset for the Next Generation of Open Voice AI Research espnet • 9 days ago • 32
Open Superconductor Challenge: Help Discover the Next 2D Superconductor — From Your Laptop FINAL-Bench • 7 days ago • 12
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows nvidia • 12 days ago • 54
Live Human Feedback in the Training Loop: Aligning Diffusion Models with Real People Rapidata • 3 days ago • 9
autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training autotrust • 6 days ago • 59
autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model autotrust • 9 days ago • 57
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs allenai • 4 days ago • 24
YODAS v3: A 1 Million Hour Dataset for the Next Generation of Open Voice AI Research espnet • 9 days ago • 32
Open Superconductor Challenge: Help Discover the Next 2D Superconductor — From Your Laptop FINAL-Bench • 7 days ago • 12
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows nvidia • 12 days ago • 54
Live Human Feedback in the Training Loop: Aligning Diffusion Models with Real People Rapidata • 3 days ago • 9