Llama Guard
Overview
LLM-based safeguard model ensuring safe human-AI conversations.
Best For Professions:
Llama Guard is a Large Language Model (LLM)-based safeguard developed to ensure safe and appropriate human-AI interactions. It functions by classifying both user inputs and AI-generated outputs to identify and mitigate potential safety risks, such as prompt injections or inappropriate content. The model is instruction-tuned to handle various safety categories and can be customized to align with specific use cases. Llama Guard supports multi-class classification and generates binary decision scores to effectively moderate AI conversations.
AI Agent Store research
What the evidence says about Llama Guard
Llama Guard is best understood as an input-output safety model rather than a standalone agent. We introduce Llama Guard, an LLM-based input-output safeguard model geared towards Human-AI conversation use cases. Our model incorporates a safety risk.
Last reviewed July 30, 2026
Verified capabilities
- Agent application development
We introduce Llama Guard, an LLM-based input-output safeguard model geared towards Human-AI conversation use cases. Our model incorporates a safety risk.[1]
Where it fits best
- Ensuring safe and appropriate interactions in human-AI conversations.[1]
Sources and research method (1)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations | Research - AI at MetaOfficial site · checked 2026-07-30
Autonomy level
81%
Comparisons
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Some of the use cases of Llama Guard:
- Ensuring safe and appropriate interactions in human-AI conversations.
- Mitigating prompt injection vulnerabilities in AI systems.
- Classifying and moderating content in AI-generated responses.
- Customizing safety protocols for specific AI use cases.
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Popularity level: 77%
Llama Guard Video:
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