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Nemo-Guardrails
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LlamaGuard Content Moderation
llamaguard
Orchestra-Research/AI-Research-SKILLs
441
LlamaGuard is Meta’s 7–8B safety-specialized LLM that filters both prompts and responses by classifying six threat categories, enabling fast inference via vLLM/SageMaker and integration into NeMo Guardrails for end-to-end moderation.
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Programmable LLM Safety Rails
nemo-guardrails
Orchestra-Research/AI-Research-SKILLs
108
NVIDIA’s NeMo Guardrails adds runtime safety rails to LLM apps, covering jailbreak detection, hallucination and fact-checking, PII filtering, and toxicity checks via Colang 2.0 rules and integrations for production use on T4 GPUs.
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Defending LLMs with Runtime Guardrails
defending-llms-with-guardrails
mukul975/Anthropic-Cybersecurity-Skills
294
This skill outlines the implementation of advanced runtime defenses for production Large Language Model (LLM) applications. It covers using multiple industry-leading guardrail systems—including Llama Guard, NeMo Guardrails, and LLM Guard—to detect and block adversarial attacks such as prompt injection, jailbreaks, and toxic content. It provides a comprehensive defense-in-depth strategy for ensuring model safety and output integrity in real-world deployments.
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