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We built a compact prompt-safety classifier that screens user input across ten distinct categories of harmful content. At just 256 MB it runs in milliseconds on a single CPU core, and across seven independent benchmarks, it dramatically outperforms a widely used model three times its size.
A practical example for training small, custom models by distilling a dataset with frontier models a ...