Update README.md

README.md

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-https://huggingface.co/collections/tomg-group-umd/dynaguard
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-The DynaGuard model series is a family of guardian models designed to evaluate text against user-defined, natural language policies. They provide a flexible and powerful solution for moderating chatbot outputs beyond static, predefined harm categories. Developed by researchers at the University of Maryland and Capital One , the series includes three open-weight models of varying sizes: 1.7B, 4B, and 8B — allowing developers to choose the best balance of performance and efficiency for their needs. Unlike traditional guardian models that screen for a fixed set of harms (e.g., violence or self-harm) , DynaGuard can enforce bespoke, application-specific rules. This includes scenarios like preventing a customer service bot from mistakenly issuing refunds or ensuring a medical bot avoids giving unauthorized advice. The DynaGuard series achieves state-of-the-art performance across a wide range of safety and compliance benchmarks, with the flagship DynaGuard-8B model outperforming other guardian models and even strong generalist models like GPT-4o-mini.