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Search LLM-guardrails , found 4 results

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LlamaGuard Content Moderation

Orchestra-Research/AI-Research-SKILLs

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.

Programmable LLM Safety Rails

nemo-guardrails

Orchestra-Research/AI-Research-SKILLs

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.

LLM Guardrails Security

implementing-llm-guardrails-for-security

mukul975/Anthropic-Cybersecurity-Skills

Builds NeMo Guardrails and custom Python validators to enforce input/output safety for LLM apps, blocking prompt injection, PII leaks, toxic outputs, hallucinations, and schema violations before they reach downstream systems.

AI Security Assessment

alirezarezvani/claude-skills

Tooling for AI/ML security assessment, detecting prompt injection, jailbreak, model inversion, data poisoning, and agent tool abuse while mapping findings to MITRE ATLAS and recommending guardrails for LLMs, classifiers, and embedding models.

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