Audience
Anyone searching for a tool to implement customizable safety measures in their generative AI applications
About Llama Guard
Llama Guard is an open-source safeguard model developed by Meta AI to enhance the safety of large language models in human-AI conversations. It functions as an input-output filter, classifying both prompts and responses into safety risk categories, including toxicity, hate speech, and hallucinations. Trained on a curated dataset, Llama Guard achieves performance on par with or exceeding existing moderation tools like OpenAI's Moderation API and ToxicChat. Its instruction-tuned architecture allows for customization, enabling developers to adapt its taxonomy and output formats to specific use cases. Llama Guard is part of Meta's broader "Purple Llama" initiative, which combines offensive and defensive security strategies to responsibly deploy generative AI models. The model weights are publicly available, encouraging further research and adaptation to meet evolving AI safety needs.
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Llama Stack
Llama Stack is a modular framework designed to streamline the development of applications powered by Meta's Llama language models. It offers a client-server architecture with flexible configurations, allowing developers to mix and match various providers for components such as inference, memory, agents, telemetry, and evaluations. The framework includes pre-configured distributions tailored for different deployment scenarios, enabling seamless transitions from local development to production environments. Developers can interact with the Llama Stack server using client SDKs available in multiple programming languages, including Python, Node.js, Swift, and Kotlin. Comprehensive documentation and example applications are provided to assist users in building and deploying Llama-based applications efficiently.
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Llama 3
We’ve integrated Llama 3 into Meta AI, our intelligent assistant, that expands the ways people can get things done, create and connect with Meta AI. You can see first-hand the performance of Llama 3 by using Meta AI for coding tasks and problem solving. Whether you're developing agents, or other AI-powered applications, Llama 3 in both 8B and 70B will offer the capabilities and flexibility you need to develop your ideas. With the release of Llama 3, we’ve updated the Responsible Use Guide (RUG) to provide the most comprehensive information on responsible development with LLMs. Our system-centric approach includes updates to our trust and safety tools with Llama Guard 2, optimized to support the newly announced taxonomy published by MLCommons expanding its coverage to a more comprehensive set of safety categories, code shield, and Cybersec Eval 2.
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Company Information
Meta
Founded: 2004
United States
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Webinars
In Person
Videos
Support
Phone Support
Online
Llama Guard Frequently Asked Questions
Q: What kinds of users and organization types does Llama Guard work with?
Llama Guard works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Llama Guard support in their product?
Llama Guard supports these languages: English.
Q: What kind of support options does Llama Guard offer?
Llama Guard offers support via phone support and online.
Q: What other applications or services does Llama Guard integrate with?
Llama Guard integrates with: Llama, Nebius Token Factory, and OpenAI.
Q: Does Llama Guard have an API?
Yes, Llama Guard has an API.
Q: What type of training does Llama Guard provide?
Llama Guard provides training in the form of documentation, webinars, in person, and videos.
