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Wednesday, 31 January 2024

Building an early warning system for LLM-aided biological threat creation

OpenAI 2 years ago 15

Researchers created an evaluation framework to assess whether large language models could help someone develop biological threats, testing GPT-4 with biology experts and students. The testing found GPT-4 provided at most a mild accuracy improvement for biological threat creation tasks, a difference too small to be statistically conclusive. The work establishes a baseline methodology for ongoing assessment of LLM biosecurity risks and calls for further investigation across different models and threat scenarios.

Introducing the Enterprise Scenarios Leaderboard: a Leaderboard for Real World Use Cases

Hugging Face 2 years ago 45

Patronus announced the Enterprise Scenarios Leaderboard, which evaluates language models on real-world business tasks rather than academic benchmarks. The leaderboard includes 6 tasks—FinanceBench, Legal Confidentiality, Creative Writing, Customer Support Dialogue, Toxicity, and Enterprise PII—with metrics ranging from accuracy to relevance and toxicity scores. To prevent test-set gaming, four of the six datasets are kept closed source, with only validation sets released to users.

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