English(EN) "Destructive scanning was Anthropic’s solution to a problem: in order to “train” Claude, Anthropic had to procure a large, high-quality language dataset, prefer

Anthropic使用“破坏性扫描”训练Claude AI

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-08 12:20

Anthropic采用了一种名为“破坏性扫描”的方法来为其AI模型Claude收集高质量的训练数据。该过程涉及获取大型数据集，最好是2022年之前的，以避免生成式AI对当前文本的负面影响。 AI

影响这种数据获取技术凸显了训练先进AI模型所面临的挑战和使用的方法。

排序理由该条目描述了AI实验室用于数据采集的特定方法论，这是一项与研究相关的活动。[lever_c_demoted from research: ic=1 ai=1.0]

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

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Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] · 2026-08-08 12:20

"Destructive scanning was Anthropic’s solution to a problem: in order to “train” Claude, Anthropic had to procure a large, high-quality language dataset, prefer

"Destructive scanning was Anthropic’s solution to a problem: in order to “train” Claude, Anthropic had to procure a large, high-quality language dataset, preferably one created before 2022 and the corrupting influence of generative AI on contemporary text." # DestructiveScanning …

链接 theguardian.com/…/anthropic-ai-destroying…

报道来源 [1]

"Destructive scanning was Anthropic’s solution to a problem: in order to “train” Claude, Anthropic had to procure a large, high-quality language dataset, prefer

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