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PapersBuildersSelected12:57
RoofLang: Enabling AI-Driven Architecting of LLM Inference Systems

This matters because it introduces a new tool, RoofLang, that could significantly improve the performance of LLMs like DeepSeek V4-series by optimizing their inference architecture, potentially leading to faster processing and better user experience.

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arXiv: DeepSeek@Ziyue Yang et al. (4)2 sourcesSource
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Chinese contentDeepSeek 发布 V4.1 Flash 模型,采用不对称 MoE 架构并开源

DeepSeek 新出的 V4.1 Flash 模型,用不对称 MoE 架构,参数量 552B,但只用了 8B 活跃参数处理输入、16B 处理输出,比上一代节省了 3/4 的存储,算力效率更高,还支持多模态,价格也便宜,适合需要高效推理的场景。

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