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English(EN) The 40% robot benchmark needs a closer look Nvidia says GR00T 2 achieved 40% zero-shot success across trials on 50 tasks. But a critic says it completed each of

Nvidia 的 GR00T 2 基准因零样本声明受到审查

作者 PulseAugur 编辑部 · [1 个来源] ·

Nvidia 声称其 GR00T 2 模型在 50 项任务上实现了 40% 的零样本成功率，这表明机器人可以学习跨不同情况转移的技能。然而，一位批评者对该基准的有效性提出了担忧，称该模型在每项任务上只成功了一次而不是持续成功，并且这些任务本身依赖于先前的知识。 AI

影响 引发了对机器人技能零样本学习基准可靠性的质疑。

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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Nvidia 的 GR00T 2 基准因零样本声明受到审查

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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 ·

    40%机器人基准需要仔细审视 Nvidia称GR00T 2在50项任务的试验中实现了40%的零样本成功率。但有批评者称其完成了每项任务的

    The 40% robot benchmark needs a closer look Nvidia says GR00T 2 achieved 40% zero-shot success across trials on 50 tasks. But a critic says it completed each of 40 tasks at least once, not consistently, and the tasks drew on known skills. # AI # MachineLearning https:// spaisee.c…

    链接 spaisee.com/…/nvidia-s-gr00t-2-aims-to-gi…

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