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English(EN) WeChat has begun testing Xiaowei, a native AI assistant embedded in the app, powered by WeLM. The model has grown to 617 billion parameters with a sparse MoE ar

微信集成由其6170亿参数WeLM模型驱动的AI助手小微

作者 PulseAugur 编辑部 · [2 个来源] ·

微信已开始测试小微，一个直接集成到其应用程序中的AI助手。该助手由微信专有的语言模型WeLM驱动，WeLM采用了稀疏混合专家（MoE）架构进行开发。WeLM的一个6170亿参数版本每个token仅激活230亿参数，开发团队正在研究“隐藏解码”作为进一步扩展的方法。 AI

影响 此次集成标志着大型消费类应用程序将先进AI助手直接嵌入其平台的新趋势。

排序理由 这是现有模型的产品集成，而非来自主要AI实验室的前沿发布。

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微信集成由其6170亿参数WeLM模型驱动的AI助手小微

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这是现有模型的产品集成，而非来自主要AI实验室的前沿发布。
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2 independent sources
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model release, product
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报道来源 [2]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    微信的晓薇智能体运行在WeLM上——一个悄然增长至6170亿参数的稀疏MoE模型

    WeChat has started gray-testing Xiaowei, a native AI assistant embedded inside the app, powered by WeLM, the WeChat AI team's long-developed large language model. WeLM has moved to sparse MoE architecture, with a 617-billion-parameter version activating just 23 billion per token,…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    微信已开始测试内置AI助手“小微”，由WeLM驱动。该模型已扩展到6170亿参数，采用稀疏MoE架构

    WeChat has begun testing Xiaowei, a native AI assistant embedded in the app, powered by WeLM. The model has grown to 617 billion parameters with a sparse MoE architecture, activating 23 billion per token. The team is exploring Hidden Decoding for new scaling directions. https:// …

    链接 pandaily.com/wechat-xiaowei-agent-welm-mo…

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