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Home/Research Paper Library/Red Teaming Language Models to Reduce Harms

Red Teaming Language Models to Reduce Harms

Anthropic's systematic study of human red teaming across model sizes, with a released attack dataset that seeded later benchmarks.

red teamingdatasetanthropic

Research question

How does red-teaming difficulty scale with model size and training method?

Key findings

RLHF models become harder to red team with scale; other models do not - Released a dataset of 38,961 red-team attacks and documented the process

Sources

arxiv.orghttps://arxiv.org/abs/2209.07858

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