Llama Guard

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Category:AI Agent Development Frameworks

Overview

LLM-based safeguard model ensuring safe human-AI conversations.

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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.

Autonomy level

81%

Reasoning: Llama Guard demonstrates high autonomy through its ability to perform real-time input-output classification for AI conversations with minimal human intervention once configured. It supports zero-shot and few-shot adaptation to custom safety taxonomies without requiring retraining, enabling dynamic policy enforcement across diverse use cases. The mo...

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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.

Pricing model:

open-source

Code access: