Llama GuardMeta
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About
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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About
Patronus AI is an automated AI evaluation, security, and optimization platform for LLM applications and agentic systems. It helps teams confidently deploy AI products at scale by generating test suites, running experiments, logging traces, comparing outputs, monitoring production interactions, and evaluating model performance in real time. It provides industry-leading evaluators for RAG hallucinations, context quality, image relevance, answer correctness, prompt injection, sensitive data leakage, toxicity, bias, and other safety or reliability risks. Patronus Evaluators can score AI outputs on specific dimensions, and teams can also create custom evaluators for use-case-specific criteria. Its platform combines dashboards, APIs, plug-and-play evaluations, logs, traces, side-by-side comparisons, visualizations, analytics, and real-time alerts to help teams detect mistakes, benchmark models, improve prompts, and understand system behavior over time.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Anyone searching for a tool to implement customizable safety measures in their generative AI applications
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Audience
AI engineering and product teams that need automated evaluation, observability, guardrails, and agent trace analysis to improve and safely deploy LLM applications
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMeta
Founded: 2004
United States
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/
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Company InformationPatronus AI
Founded: 2023
United States
www.patronus.ai/
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Integrations
Llama
Nebius Token Factory
OpenAI
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