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Meta 推 LlamaRL 强化学习框架：全异步分布设计，训练 AI 模型提速 10.7 倍 Telegraph | 原文

Meta 推 LlamaRL 强化学习框架：全异步分布设计，训练 AI 模型提速 10.7 倍 - IT之家

IT之家 6 月 11 日消息，科技媒体 marktechpost 昨日（6 月 10 日）发布博文，报道称 Meta 公司推出 LlamaRL 框架，采用全异步分布式设计，在 405B 参数模型上，LlamaRL 将强化学习步骤时间从 635.8 秒缩短至 59.5 秒，速度提升 10.7 倍。 IT之家注：强化学习（Reinforcement Learning，RL）通过基于反馈调整输出，让模型更贴合用户需求。随着对模型精准性和规则适配性的要求不断提高，强化学习在训练后阶段的重要性日益凸显，持续优化…

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Create: 2025-06-11
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Meta 推 LlamaRL 强化学习框架：全异步分布设计，训练 AI 模型提速 10.7 倍 Telegraph | 原文

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IT之家 Meta 推 LlamaRL 强化学习框架：全异步分布设计，训练 AI 模型提速 10.7 倍 Telegraph | 原文