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English(EN) Ripple’s reported 80.5 score is only the opening test Ricursive reports a Terminal-Bench 2.1 strong lead, but an independent test scored 93 of 157 and cited pro

Ripple AI 模型在基准测试中表现不一

Ricursive 在其 Ripple 模型上报告的 Terminal-Bench 2.1 基准测试中取得了 80.5 分的领先优势。然而,一项独立测试显示得分仅为 157 分中的 93 分,并引用了提供商超时和上下文限制等问题。这表明 Ripple 模型虽然有潜力,但在某些测试条件下其性能可能不稳定。 AI

影响 基准测试结果表明 AI 模型可能存在性能不一致的问题,影响其实际应用。

排序理由 该集群讨论了 AI 模型的基准测试结果,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

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Ripple AI 模型在基准测试中表现不一

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该集群讨论了 AI 模型的基准测试结果,属于研究范畴。[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) · spaisee ·

    Ripple 报告的 80.5 分仅是初步测试 Ricursive 报告的 Terminal-Bench 2.1 遥遥领先,但独立测试得分 93/157 并引用了专业

    Ripple’s reported 80.5 score is only the opening test Ricursive reports a Terminal-Bench 2.1 strong lead, but an independent test scored 93 of 157 and cited provider timeouts and context caps. # AI # MachineLearning https:// spaisee.com/article/ripple-65b -puts-open-coding-models…