What is recorded here?
Adapted Muon updates by attention head, shared multi-token prediction parameters and decoupled rollout generation from training in an asynchronous agent-learning system.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Inherits Muon, MLA, DSA and multi-token prediction; GLM5 does not invent those components. Original February report controls scope; later5.2/5.3 architecture and benchmark claims are not backdated. Asynchronous-learning and quality gains are source-reported.
Read the original work
- GLM-5: from Vibe Coding to Agentic Engineering
- GLM-5 Team: headwise optimization and asynchronous agent training — official project
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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English catalogue narrative
GLM-5 Team: headwise optimization and asynchronous agent training
Adapted Muon updates by attention head, shared multi-token prediction parameters and decoupled rollout generation from training in an asynchronous agent-learning system.
Scientific scope
Inherits Muon, MLA, DSA and multi-token prediction; GLM5 does not invent those components. Original February report controls scope; later5.2/5.3 architecture and benchmark claims are not backdated. Asynchronous-learning and quality gains are source-reported.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.