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Provides a systematic framework and methodology for adversarial testing and safety evaluation of small language models (SLMs) specifically tailored for regulated industry use cases.
stars
1
forks
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The project addresses a relevant niche (SLM safety in regulated industries) but currently lacks technical implementation, community adoption, or specialized datasets. With only 1 star and no forks, it functions more as a documentation draft or personal proposal than a functional tool.
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theoretical_framework
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