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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'meta-llama/Meta-Llama-Guard-3-8B',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="meta-llama/Meta-Llama-Guard-3-8B",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
-
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Product Detail
Introducing Meta Llama Guard 3 (8B)
Meta Llama Guard 3 (8B) is a cutting-edge language model developed by Meta to provide robust input and output safeguarding for human-AI conversations. Its core mission is to excel in content moderation and AI safety, ensuring that AI-generated responses consistently adhere to predefined safety standards and ethical guidelines.
Model Highlights:
- ✔ Name: Meta Llama Guard 3 (8B)
- ✔ Developer: Meta
- ✔ Release: July 23, 2023
- ✔ Type: Language Model for Input/Output Safeguarding
Intended Use:
This model is crucial for developers aiming to enhance the safety of AI systems, particularly in conversational agents, customer support bots, and any scenario where user interaction with AI is prevalent. It supports multiple languages, enabling global deployment.
🚀 Advanced Capabilities for AI Safety
Meta Llama Guard 3 (8B) is engineered with powerful features to deliver comprehensive content safety:
- ★ Multi-language Classification: Fine-tuned for highly effective content safety classification across numerous languages.
- ★ Intelligent Moderation: Capable of classifying both prompts and responses to accurately identify safe or unsafe content.
- ★ Advanced Safety Risk Taxonomy: Implements a sophisticated taxonomy for precise and effective content moderation decisions.
- ★ Versatile Prompting: Supports both zero-shot and few-shot prompting, ensuring flexibility for diverse application needs.
- ★ Binary Safety Scores: Generates clear, binary decision scores for straightforward evaluation of prompt safety.
💡 Technical Architecture & Training Excellence
At its foundation, Meta Llama Guard 3 (8B) is built upon the robust Llama 3.1 architecture, featuring an optimized transformer design. Its superior performance and safety capabilities are enhanced through advanced training methodologies:
- 💻 Supervised Fine-Tuning (SFT): Optimizing initial response quality and alignment.
- 🤖 Reinforcement Learning from Human Feedback (RLHF): Continuously refining safety and quality based on expert human evaluations.
Rigorous Training Data:
The model's training involved a carefully curated dataset focusing on real-world safety risks in AI interactions, which ensures its robust performance in identifying and mitigating harmful content.
- 📚 Diverse Data Sources: Includes various conversational datasets emphasizing safety and moderation, selected to minimize bias while maximizing diversity of scenarios.
- 📅 Knowledge Cutoff: The model's knowledge base is current as of March 2023.
📊 Performance & Seamless Integration
Meta Llama Guard 3 (8B) consistently delivers strong performance metrics in content safety classification, setting a high standard in AI moderation capabilities.
Effortless API Access:
Integrate Meta Llama Guard 3 (8B) into your applications with ease via the AI/ML API platform. It is listed as "Llama Guard 3 (8B)", streamlining your development process.
🔗 Get Started: Access the Llama Guard 3 (8B) API here.
🛡️ Ethical AI & Flexible Licensing
Meta is deeply committed to ethical AI development, ensuring transparency regarding Llama Guard 3 (8B)'s capabilities and inherent limitations. Responsible usage is strongly encouraged to prevent any potential misuse or harmful applications of AI-generated content.
The model is made available under an open-source license, offering flexibility for both research and commercial use. This licensing approach fosters widespread ethical AI development and seamless integration across diverse applications.
Frequently Asked Questions (FAQs)
Q1: What is Meta Llama Guard 3 (8B)?
A: It is a language model developed by Meta specifically for safeguarding human-AI conversations. Its primary function is to moderate input and output, ensuring content safety and compliance with ethical standards.
Q2: What are its main applications?
A: It's ideal for developers looking to enhance the safety of conversational AI systems, customer support bots, and any AI application involving user interaction. It also supports multiple languages for global use.
Q3: How does Meta Llama Guard 3 (8B) ensure content safety?
A: It is fine-tuned for content safety classification across multiple languages and uses a robust safety risk taxonomy to identify and classify both safe and unsafe content in prompts and responses.
Q4: What is the underlying architecture of the model?
A: The model is based on the Llama 3.1 architecture, featuring an optimized transformer design that incorporates Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) for improved safety and quality.
Q5: How can I integrate Llama Guard 3 (8B) into my projects?
A: You can access and integrate the Llama Guard 3 (8B) API through the AI/ML API platform, where it is available as "Llama Guard 3 (8B)".
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