Chinese tech company Tencent just introduced its latest large language model, Hunyuan Turbo S, featuring significantly faster response times without sacrificing performance on complex reasoning tasks.
Tencent claims that its new AI doubles word generation speed and cuts first-word delay by 44% compared to previous models, according to official information that the Chinese tech giant shared on Weibo.
The model uses what appears to be a hybrid architecture combining Mamba and Transformer technologies—the first successful integration of these approaches in a super-large Mixture of Experts (MoE) model.
This technical fusion aims to solve fundamental problems that have plagued AI development: Mamba handles long sequences efficiently while Transformer captures complex contexts, potentially lowering both training and inference costs. Being hybrid means that the model combines reasoning capabilities with the traditional approach of normal LLMs that provide immediate response.
“The combination and complement of fast thinking and slow thinking can make large models solve problems more intelligently and efficiently,” Tencent wrote when announcing the model on its official WeChat channel. The company drew inspiration from human cognitive processes, designing Hunyuan Turbo S to provide instant responses like human intuition while maintaining the analytical reasoning capabilities needed for co…
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