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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 2?

We are excited to unveil the latest version of our open-source large language model, which includes model weights and initial code for the pretrained and fine-tuned Llama language models, ranging from 7 billion to 70 billion parameters. The Llama 2 pretrained models have been crafted using a remarkable 2 trillion tokens and boast double the context length compared to the first iteration, Llama 1. Additionally, the fine-tuned models have been refined through the insights gained from over 1 million human annotations. Llama 2 showcases outstanding performance compared to various other open-source language models across a wide array of external benchmarks, particularly excelling in reasoning, coding abilities, proficiency, and knowledge assessments. For its training, Llama 2 leveraged publicly available online data sources, while the fine-tuned variant, Llama-2-chat, integrates publicly accessible instruction datasets alongside the extensive human annotations mentioned earlier. Our project is backed by a robust coalition of global stakeholders who are passionate about our open approach to AI, including companies that have offered valuable early feedback and are eager to collaborate with us on Llama 2. The enthusiasm surrounding Llama 2 not only highlights its advancements but also marks a significant transformation in the collaborative development and application of AI technologies. This collective effort underscores the potential for innovation that can emerge when the community comes together to share resources and insights.

What is CommentGuard?

CommentGuard is a sophisticated moderation tool specifically crafted for overseeing comments on platforms like Facebook and Instagram. It aggregates comments from posts and advertisements into a single, streamlined inbox, allowing users to effortlessly like, hide, delete, block, or reply to comments. Key features include real-time AI moderation, automated responses based on company data, intent detection powered by AI, pre-saved replies, and the capability for automatic replies. The system is particularly proficient at detecting and removing inappropriate comments, spam, and other unwanted content in multiple languages. Additionally, it encourages collaboration among team members by enabling them to work together without the need to share login credentials, ensuring a secure and efficient method for managing comments while also fostering improved user engagement. This comprehensive approach not only enhances comment oversight but also strengthens team dynamics in handling customer interactions.

Media

Media

Media

No images available

Integrations Supported

AI-FLOW
AICamp
Amazon Bedrock
Code Llama
ConfidentialMind
Deasie
Ema
Facebook
Gopher
Jspreadsheet
Kiin
Llama
Ludwig
Lunary
Medical LLM
Meta AI
Ollama
Unify AI
WebLLM
ZenML

Integrations Supported

AI-FLOW
AICamp
Amazon Bedrock
Code Llama
ConfidentialMind
Deasie
Ema
Facebook
Gopher
Jspreadsheet
Kiin
Llama
Ludwig
Lunary
Medical LLM
Meta AI
Ollama
Unify AI
WebLLM
ZenML

Integrations Supported

AI-FLOW
AICamp
Amazon Bedrock
Code Llama
ConfidentialMind
Deasie
Ema
Facebook
Gopher
Jspreadsheet
Kiin
Llama
Ludwig
Lunary
Medical LLM
Meta AI
Ollama
Unify AI
WebLLM
ZenML

API Availability

Has API

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$29/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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

ai.meta.com/llama/

Company Facts

Organization Name

CommentGuard

Date Founded

2024

Company Location

United Kingdom

Company Website

commentguard.io

Categories and Features

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

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