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KNOWLEDGE ATLAS: GLM-5 Series Achieves Max. 132% Increase in System Throughput in Coding Agent Scenarios
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KNOWLEDGE ATLAS (02513.HK) has published a technical report disclosing for the first time the underlying inference technology breakthroughs of the GLM-5 series models in ultra-large-scale Coding Agent deployment scenarios. According to the report, the GLM-5 series achieved up to a 132% increase in system throughput in Coding Agent scenarios following underlying engineering optimization, while the system abnormal output rate declined from around 10 per 10,000 to below 3 per 10,000. Auto-translated by AI This article was automatically translated by AI, the original language version should be considered the authoritative version. AASTOCKS.com Limited does not guarantee its accuracy or completeness and accepts no liability for any damages or losses arising from the use of this translation. More Details
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