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Hukum penskalaan bagi pengoptimuman berlebihan model ganjaran

Source: OpenAI News Source published: 19 Oct 2022 NadiAI generated: 18 Jun 2026
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Brief

OpenAI menerangkan hasil kajian tentang hukum penskalaan yang menerangkan bagaimana model ganjaran boleh menjadi terlampau dioptimumkan apabila saiz atau latihan meningkat. Kajian itu membincangkan implikasi bagi keselamatan dan reka bentuk sistem penilaian serta memberikan panduan am untuk mitigasi.

Why It Matters

Faham had pengoptimuman model ganjaran penting untuk mengurangkan risiko tingkah laku tak diingini dan memperbaiki keselamatan model AI.

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