Estimating worst case frontier risks of open weight LLMs

归档编码:estimating-worst-case-frontier-risks-of-open-weight-1b667a11

核心要点速览

In this paper, we study the worst-case frontier risks of releasing gpt-oss. We introduce malicious fine-tuning (MFT), where we attempt to elicit maximum capabilities by fine-tuning gpt-oss to be as capable as possible in two domains: biology and cybersecurity.

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