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Description
Llama Guard is a collaborative open-source safety model created by Meta AI aimed at improving the security of large language models during interactions with humans. It operates as a filtering mechanism for inputs and outputs, categorizing both prompts and replies based on potential safety risks such as toxicity, hate speech, and false information. With training on a meticulously selected dataset, Llama Guard's performance rivals or surpasses that of existing moderation frameworks, including OpenAI's Moderation API and ToxicChat. This model features an instruction-tuned framework that permits developers to tailor its classification system and output styles to cater to specific applications. As a component of Meta's extensive "Purple Llama" project, it integrates both proactive and reactive security measures to ensure the responsible use of generative AI technologies. The availability of the model weights in the public domain invites additional exploration and modifications to address the continually changing landscape of AI safety concerns, fostering innovation and collaboration in the field. This open-access approach not only enhances the community's ability to experiment but also promotes a shared commitment to ethical AI development.
Description
Openlayer is an AI governance, evaluation, and observability platform designed for teams building traditional machine learning, generative AI, RAG, and agentic systems. The platform helps organizations test, monitor, and improve AI applications from early experimentation through production deployment. Openlayer provides more than 100 automated tests that evaluate data quality, model performance, safety, reliability, fairness, and behavior across AI workflows. Its observability capabilities give teams traceability across prompts, retrieval steps, agents, tool calls, responses, and complex multi-step execution paths. Real-time guardrails help block or reduce risks such as prompt injections, PII leakage, bias, toxicity, hallucinations, and unsafe outputs. Openlayer also supports automated model evaluations so teams can continuously assess AI systems instead of relying only on manual review. For governance teams, the platform helps operationalize responsible AI requirements and align internal processes with frameworks such as NIST and the EU AI Act. Enterprises can use Openlayer to create safer AI development practices, maintain oversight, and document how models perform over time. By combining evaluation, observability, guardrails, governance automation, and workflow traceability, Openlayer helps companies deploy AI systems with more confidence and control.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Llama
No
Nebius Token Factory
No
OpenAI
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
ai.meta.com/research/publications/llama-guard-llm-based-input-output-safeguard-for-human-ai-conversations/
Vendor Details
Company Name
Openlayer
Founded
2021
Country
United States
Website
www.openlayer.com