PulseAugur
中
实时 16:57:50
English(EN) Accelerating Disaggregated RL for Visual Generative LLMs with Diffusion-Based Parallelism and Trainer-Assisted Generation

新的DigenRL框架通过解耦强化学习加速扩散式生成大语言模型 · 跟踪3个来源

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了DigenRL，一个解耦强化学习框架，旨在提高基于扩散的生成式大语言模型的效率。该新框架通过实现灵活的资源分配和兼容异构GPU来解决现有系统的局限性。DigenRL引入了生成轴流水线（GAP）和时间步长并行（TSP）等新技术，以改进rollout和训练之间的流水线操作，并结合了弹性Trainer-Assisted Generation（TAG）方法。实验表明，DigenRL显著提高了吞吐量，与当前最先进的系统相比，最高可提高2.10倍。 AI

影响 该框架可能显著提高基于扩散的生成式大语言模型的训练效率和可扩展性，从而可能加速先进视觉AI模型的开发和部署。

排序理由 该集群描述了一篇详细介绍一种新框架和方法论以加速特定类型AI模型的新研究论文。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新的DigenRL框架通过解耦强化学习加速扩散式生成大语言模型 · 跟踪3个来源

报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Sijie Wang, Zhengyu Qing, Zhiqiang Tan, Yiming Yin, Yeqing Zhang, Yaoyuan Wang, Qiang Wang, Xiaowen Chu, Shaohuai Shi ·

    Accelerating Disaggregated RL for Visual Generative LLMs with Diffusion-Based Parallelism and Trainer-Assisted Generation

    arXiv:2606.24369v1 Announce Type: new Abstract: Reinforcement learning (RL) has become a dominant post-training paradigm, driving the emergence of high-performance RL systems such as veRL for autoregressive large language models (LLMs). In parallel, diffusion-oriented RL algorith…

  2. arXiv cs.AI TIER_1 English(EN) · Shaohuai Shi ·

    Accelerating Disaggregated RL for Visual Generative LLMs with Diffusion-Based Parallelism and Trainer-Assisted Generation

    Reinforcement learning (RL) has become a dominant post-training paradigm, driving the emergence of high-performance RL systems such as veRL for autoregressive large language models (LLMs). In parallel, diffusion-oriented RL algorithms, e.g., DanceGRPO and FlowGRPO, have rapidly e…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Accelerating Disaggregated RL for Visual Generative LLMs with Diffusion-Based Parallelism and Trainer-Assisted Generation

    Reinforcement learning (RL) has become a dominant post-training paradigm, driving the emergence of high-performance RL systems such as veRL for autoregressive large language models (LLMs). In parallel, diffusion-oriented RL algorithms, e.g., DanceGRPO and FlowGRPO, have rapidly e…

相关实体

相关话题