清华大学智谱AI：GLM-5 从氛围编程迈向智能体工程

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GLM-5旨在实现通用人工智能（AGI）的新一代旗舰级大语言模型。该模型采用 MoE 架构，并通过引入 DSA 稀疏注意力机制与异步强化学习框架，显著提升了在复杂软件工程和智能体任务中的执行效率。在 LMArena 以及多项编程与逻辑推理基准测试中，GLM-5 展现出顶尖的性能，能够处理真实世界的端到端编程挑战。此外，该模型针对中国本土显卡生态进行了全栈深度优化，确保了在国产硬件上的高效运行与部署。通过思维链技术的革新，GLM-5 在自主决策、自我纠错及长文本处理方面均实现了质的飞跃。

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清华大学智谱AI：GLM-5 从氛围编程迈向智能体工程

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