autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model autotrust • 9 days ago • 193
autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training autotrust • 6 days ago • 115
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs allenai • 5 days ago • 25
YODAS v3: A 1 Million Hour Dataset for the Next Generation of Open Voice AI Research espnet • 9 days ago • 33
Live Human Feedback in the Training Loop: Aligning Diffusion Models with Real People Rapidata • 4 days ago • 9
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows nvidia • 13 days ago • 56
autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model autotrust • 9 days ago • 193
autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training autotrust • 6 days ago • 115
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs allenai • 5 days ago • 25
YODAS v3: A 1 Million Hour Dataset for the Next Generation of Open Voice AI Research espnet • 9 days ago • 33
Live Human Feedback in the Training Loop: Aligning Diffusion Models with Real People Rapidata • 4 days ago • 9
How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows nvidia • 13 days ago • 56