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English(EN) Researchers at H Company have released NeoMME, a family of single-tower multimodal encoders with 260M and 800M parameters that discard the traditional vision to

H公司发布单塔多模态编码器系列NeoMME

作者 PulseAugur 编辑部 · [2 个来源] ·

H公司推出了NeoMME，这是一个专为提高效率而设计的新型多模态编码器系列。这些模型提供2.6亿和8亿参数两种尺寸，无需独立的视觉塔和因果解码器，通过单一Transformer架构处理文本和图像数据。这种简化的方法旨在降低计算开销，同时保持强大的性能，其中2.6亿参数的NeoMME-Retriever在文档检索基准测试中取得了有竞争力的结果。 AI

影响 这种新架构通过降低计算开销，可能带来更高效的多模态AI系统。

排序理由 发布具有新颖架构的新型多模态编码器系列。

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

H公司发布单塔多模态编码器系列NeoMME

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发布具有新颖架构的新型多模态编码器系列。
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报道来源 [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    H公司发布NeoMME：一款2.6亿和8亿参数的单塔多模态编码器，摒弃了视觉塔和因果解码器

    <p>We look at NeoMME, a family of 260M and 800M bidirectional encoders from H Company. Unlike ColPali-style retrievers, it processes multilingual text tokens and raw 32×32 image patches in a single Transformer, with no pretrained vision tower and no causal decoder. We cover the m…

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    H公司研究人员发布了NeoMME，这是一系列拥有2.6亿和8亿参数的单塔多模态编码器，它们摒弃了传统的视觉到

    Researchers at H Company have released NeoMME, a family of single-tower multimodal encoders with 260M and 800M parameters that discard the traditional vision tower and causal decoder architecture. The approach aims to simplify multimodal AI while maintaining performance. https://…

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