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English(EN) SubQ is a new "subquadratic" LLM that can handle context windows of 12 million tokens. 12 million tokens is a massive amount of text, roughly equivalent to 9 mi

SubQ 大语言模型发布，拥有 1200 万 token 上下文和更快的推理速度

作者 PulseAugur 编辑部 · [2 个来源] ·

一款名为 SubQ 的新型大语言模型已发布，其声称能够处理高达 1200 万 token 的上下文窗口。这代表了上下文处理能力的重大飞跃，可能相当于数百本小说。该模型还声称提供 52 倍的 AI 推理速度，尽管其成本和性能的详细信息仍在披露中。 AI

影响 可能催生需要深入理解长文档或对话的新类应用。

排序理由 具有重大能力声明（上下文窗口大小、推理速度）的新模型发布。[lever_c_demoted from frontier_release: ic=2 ai=1.0]

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 →

SubQ 大语言模型发布，拥有 1200 万 token 上下文和更快的推理速度

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具有重大能力声明（上下文窗口大小、推理速度）的新模型发布。[lever_c_demoted from frontier_release: ic=2 ai=1.0]
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model release, product
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报道来源 [2]

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

    SubQ 是一款新的“亚二次方”大语言模型，可处理 1200 万个 token 的上下文窗口。1200 万个 token 是海量文本，约等于 900 万

    SubQ is a new "subquadratic" LLM that can handle context windows of 12 million tokens. 12 million tokens is a massive amount of text, roughly equivalent to 9 million words or about 120 full-length novels. If this lives up to the claims, it's a game-changer. Wonder what the cost i…

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

    SubQ 承诺 AI 推理速度提升 52 倍，上下文窗口达 1200 万。当所有人在谈论 AI 时，这件事却悄无声息地发生了。看看他们都在做什么。链接

    SubQ promises 52x faster AI inference and 12M token context windows. While everyone writes about AI, this went by in silence. Here's what they're cooking. Link in the comment # AI # MachineLearning # Programming

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