Building a Domain-specific Guardrail Model in Production

This paper describes the development and deployment of a domain-specific guardrail model for a K-12 educational platform that ensures content appropriateness, safety, and policy compliance. The authors benchmark their guardrail model against proprietary education-related benchmarks and public safety benchmarks, demonstrating superior performance in filtering inappropriate content for K-12 contexts.

Generative AI holds the promise of enabling a range of sought-after capabilities and revolutionizing workflows in various consumer and enterprise verticals. However, putting a model in production involves much more than just generating an output. It involves ensuring the model is reliable, safe, performant and also adheres to the policy of operation in a particular domain. Guardrails as a necessity for models has evolved around the need to enforce appropriate behavior of models, especially when

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