Tag: Diffusion Models (2 articles)

NVIDIA's new diffusion language models generate tokens in parallel and refine them iteratively, potentially breaking the latency limits of traditional autoregressive models and enabling self-correction.

VeRL-Omni is a reinforcement learning training framework designed for multimodal generative models, addressing the engineering challenges of efficient and stable RL training on diffusion and omni-modality models, extending the LLM RL training paradigm to image, video, and audio generation.