In the recent Spring Festival holiday, domestic AI large models experienced a surge in releases, with Zhipu Technology's GLM-5 model drawing significant attention. As one of the most popular AI models currently, GLM-5 not only achieved major technological breakthroughs but also fully supported seven major domestic chip platforms for the first time, showcasing the strong power of China's AI industry.

According to Zhipu Technology's official introduction, the parameter count of GLM-5 reached 744 billion, nearly doubling that of its predecessor GLM-4.X. This significant increase in parameters has made it perform exceptionally well in programming and intelligent agent capabilities. Recent tests show that GLM-5 ranks first globally in agent programming capabilities, while its overall programming capability ranks third globally, surpassing many international competitors.

GLM-5 Large Model Officially Supports 7 Major Domestic Chip Platforms: Huawei, Cambrian, Moorthread, etc., are Listed

However, due to the huge popularity of GLM-5, the surge in user demand caused a shortage of computing resources, prompting Zhipu Technology to issue an apology letter and propose compensation measures to improve the user experience. To help everyone understand this new model better, Zhipu also released a detailed technical report, highlighting four key innovations in GLM-5's performance improvements:

1. 🌟 ** Introduction of DSA Sparse Attention Mechanism **: GLM-5 adopts a new sparse attention mechanism that dynamically allocates resources based on the importance of tokens, significantly reducing training and inference costs.

2. 🛠️ ** Construction of Asynchronous RL Infrastructure **: The new infrastructure allows deep decoupling between generation and training, greatly improving GPU utilization and accelerating the trajectory exploration of intelligent agents, solving previous synchronization bottlenecks.

3. 🔄 ** New Asynchronous Agent RL Algorithm **: This algorithm optimizes the quality of the model's autonomous decision-making, enabling it to self-correct and continuously learn in dynamic environments, thus performing excellently in real programming scenarios.

It is worth noting that GLM-5 is fully compatible with seven major domestic chip platforms, including Huawei Ascend, Cambrian, and Hygon, marking the comprehensive adoption of the domestic computing power ecosystem. Zhipu claims that GLM-5's performance on a single domestic computing node is close to that of international mainstream GPU computing clusters, and the deployment cost for long sequence processing has been reduced by 50%, further enhancing its market competitiveness.

With the official release of GLM-5, the future of domestic AI large models is promising.

Key Points:

- 🌍 ** World-Class Programming Capabilities **: GLM-5 achieved the world's first position in programming agent capabilities, demonstrating its strong technical strength.

- ⚙️ ** Support for Seven Chip Platforms **: Full support for seven major domestic chips such as Huawei and Cambrian, showcasing the strong power of China's AI ecosystem.

- 🚀 ** Four Major Technological Innovations **: Through the introduction of new mechanisms and algorithms, GLM-5 has achieved a qualitative leap in performance and efficiency, providing users with a better experience.