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English(EN) What is a System One Model? TypeSafe thinks of their Jev as one: instead of writing text, it returns a probability for each answer on a fixed list. The idea is

TypeSafe 的 Jev 模型开创了 AI 决策的“System One”方法

TypeSafe 的 Jev 模型被描述为“System One 模型”,它与传统 LLM 不同,不生成自由格式文本,而是为预定义列表中的答案输出概率。这种方法并非完全新颖,因为 LLM 已经为 token 预测计算分数,但 TypeSafe 强调 Jev 的可信度和速度。该入门指南探讨了 Jev、其开源对应模型以及小型决策模型与大型语言模型的集成。 AI

影响 与当前的 LLM 相比,这种“System One”方法可以提供更可预测、更值得信赖的 AI 决策。

排序理由 该项目描述了一种新颖的模型架构及其潜在应用,符合研究类别。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — mastodon.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

TypeSafe 的 Jev 模型开创了 AI 决策的“System One”方法

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该项目描述了一种新颖的模型架构及其潜在应用,符合研究类别。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    什么是 System One 模型?TypeSafe 将其 Jev 视为一个模型:它不生成文本,而是为固定列表中的每个答案返回一个概率。这个想法是

    What is a System One Model? TypeSafe thinks of their Jev as one: instead of writing text, it returns a probability for each answer on a fixed list. The idea is not new: every # LLM already computes those scores when it predicts the next token, but TypeSafe counts on their offerin…