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What is Llama Guard?

Llama Guard is an innovative open-source safety model developed by Meta AI that seeks to enhance the security of large language models during their interactions with users. It functions as a filtering system for both inputs and outputs, assessing prompts and responses for potential safety hazards, including toxicity, hate speech, and misinformation. Trained on a carefully curated dataset, Llama Guard competes with or even exceeds the effectiveness of current moderation tools like OpenAI's Moderation API and ToxicChat. This model incorporates an instruction-tuned framework, allowing developers to customize its classification capabilities and output formats to meet specific needs. Part of Meta's broader "Purple Llama" initiative, it combines both proactive and reactive security strategies to promote the responsible deployment of generative AI technologies. The public release of the model weights encourages further investigation and adaptations to keep pace with the evolving challenges in AI safety, thereby stimulating collaboration and innovation in the domain. Such an open-access framework not only empowers the community to test and refine the model but also underscores a collective responsibility towards ethical AI practices. As a result, Llama Guard stands as a significant contribution to the ongoing discourse on AI safety and responsible development.

What is Llama 3?

We have integrated Llama 3 into Meta AI, our smart assistant that transforms the way people perform tasks, innovate, and interact with technology. By leveraging Meta AI for coding and troubleshooting, users can directly experience the power of Llama 3. Whether you are developing agents or other AI-based solutions, Llama 3, which is offered in both 8B and 70B variants, delivers the essential features and adaptability needed to turn your concepts into reality. In conjunction with the launch of Llama 3, we have updated our Responsible Use Guide (RUG) to provide comprehensive recommendations on the ethical development of large language models. Our approach focuses on enhancing trust and safety measures, including the introduction of Llama Guard 2, which aligns with the newly established taxonomy from MLCommons and expands its coverage to include a broader range of safety categories, alongside code shield and Cybersec Eval 2. Moreover, these improvements are designed to promote a safer and more responsible application of AI technologies across different fields, ensuring that users can confidently harness these innovations. The commitment to ethical standards reflects our dedication to fostering a secure and trustworthy AI environment.

Media

Media

Integrations Supported

Nebius Token Factory

Integrations Supported

1min.AI
AICamp
AnotherWrapper
Arcee-SuperNova
Batteries Included
BrainyAI
ChatLLM
ChatLabs
Clojure
Gopher
LLaMA-Factory
LaVague
Meta Model API
Msty
Outspeed
Rust
Unsloth
Waveloom
You.com

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

llama.meta.com

Categories and Features

AI Development

Not specified

AI Guardrails

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

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