GLM-5 Technical Report
7 days ago
- #AI models
- #reinforcement learning
- #machine learning
- GLM-5 is a next-generation foundation model transitioning from vibe coding to agentic engineering.
- It builds on the ARC (agentic, reasoning, coding) capabilities of its predecessor.
- Uses DSA to reduce training and inference costs while maintaining long-context fidelity.
- Implements asynchronous reinforcement learning for improved post-training efficiency.
- Introduces novel asynchronous agent RL algorithms for better learning from complex interactions.
- Achieves state-of-the-art performance on major open benchmarks.
- Demonstrates superior capability in real-world coding tasks and end-to-end software engineering.
- Code, models, and additional information are available online.