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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 Flowise?

Flowise is an adaptable open-source platform that streamlines the process of developing customized Large Language Model (LLM) applications through an easy-to-use drag-and-drop interface, tailored for low-code development. It supports connections to various LLMs like LangChain and LlamaIndex, along with offering over 100 integrations to aid in the creation of AI agents and orchestration workflows. Furthermore, Flowise provides a range of APIs, SDKs, and embedded widgets that facilitate seamless integration into existing systems, guaranteeing compatibility across different platforms. This includes the capability to deploy applications in isolated environments utilizing local LLMs and vector databases. Consequently, developers can efficiently build and manage advanced AI solutions while facing minimal technical obstacles, making it an appealing choice for both beginners and experienced programmers.

Media

Media

Integrations Supported

OpenAI
Activepieces
Arize AI
Chatzapbot
Docker
Firecrawl
GitHub
Hugging Face
JavaScript
LangChain
Langfuse
Leo
Llama
Lunary
Mazaal AI
Node.js
Opik
TypeScript
Zep
n8n

Integrations Supported

OpenAI
Activepieces
Arize AI
Chatzapbot
Docker
Firecrawl
GitHub
Hugging Face
JavaScript
LangChain
Langfuse
Leo
Llama
Lunary
Mazaal AI
Node.js
Opik
TypeScript
Zep
n8n

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

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

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

Flowise AI

Date Founded

2023

Company Location

United States

Company Website

flowiseai.com

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