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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-3-70B-Instruct-Lite',
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-3-70B-Instruct-Lite",
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}")
-
AI Playground
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We provide more than 300 models to integrate into your app.
Product Detail
Llama 3 70B Instruct Lite: A Powerful Conversational AI
Released on April 18, 2024, Llama 3 70B Instruct Lite, developed by Meta, stands out as a robust large language model. Optimized specifically for dialogue and instruction tuning, it aims to deliver enhanced helpfulness and safety in AI interactions. With a massive 70 billion parameters, this model is a key member of the advanced Llama 3 family, engineered for high-quality assistant-like chat applications and a broad spectrum of natural language generation tasks, primarily in English. It achieves a remarkable balance between performance and alignment with human preferences through a sophisticated blend of supervised fine-tuning and reinforcement learning with human feedback (RLHF).
Technical Specifications & Architecture
The Llama 3 70B Instruct Lite model is built upon an auto-regressive transformer architecture. Its fine-tuning process involved an extensive supervised learning dataset, comprising over 10 million human-annotated examples. Before fine-tuning, the model was pre-trained on an enormous corpus of over 15 trillion tokens from diverse publicly available data sources, ensuring exceptional robustness and generalizability across various domains.
Knowledge Cutoff: The model's knowledge base is current up to December 2023.
Language Support: Natively supports English. Developers have the flexibility to fine-tune the model for additional languages, adhering to Meta’s Llama 3 Community License and Acceptable Use Policy.
🚀 Leading Performance Benchmarks
Llama 3 70B consistently demonstrates superior performance on key industry benchmarks:
- MMLU Accuracy: 79.5%
- CommonSenseQA Score: 83.8%
Its inference efficiency is further enhanced by Grouped-Query Attention (GQA), which significantly improves scalability. This architecture ensures robust and rapid responses across a wide array of inputs and topics, making it highly reliable for demanding applications.
✨ Key Capabilities of Llama 3 70B Instruct Lite
- Instruction-Tuned Alignment: Advanced tuning for both safety and helpfulness, achieved through a combination of supervised fine-tuning and RLHF.
- High Performance English Support: Demonstrates superior capabilities, outperforming many other open-source chat models in tasks requiring English-based natural language processing.
- Versatile Use: Suited for a broad range of both commercial and research applications, including developing sophisticated conversational agents and advanced content generation systems.
- Ethical AI Framework: Meta provides comprehensive Responsible Use Guidelines, ensuring the safe and ethical deployment of Llama 3 across all applications.
💡 Intended Use Cases
Llama 3 70B Instruct Lite is perfectly suited for applications demanding high accuracy, deep contextual understanding, and precise instruction following. Key use cases include:
- Assistant-like Chatbots: Powering intelligent and responsive conversational agents.
- Customer Support Automation: Enhancing efficiency and response quality in automated support systems.
- Content Creation: Generating high-quality text, articles, and creative content.
- General Natural Language Generation: Any task requiring sophisticated text output.
Its commercial license encourages widespread adoption in enterprise contexts, provided ethical usage policies are maintained.
⚠️ Important Considerations & Limitations
- Language Optimization: Currently optimized primarily for English. Multilingual support requires additional fine-tuning efforts by developers.
- Knowledge Cutoff: The model's knowledge base is limited to December 2023 and therefore may not reflect events, data, or developments beyond this date.
- Bias Mitigation: Users are strongly encouraged to actively evaluate and mitigate potential biases inherent in AI models, specifically within the context of their unique implementations and applications.
Ethical Guidelines & Licensing
Responsible Use: Meta's Responsible Use Guide provides essential steps for the ethical development and deployment of AI. Developers should rigorously follow these guidelines to ensure the safe and responsible use of Llama 3.
License Type: A custom commercial license is available. For comprehensive details, please visit the official Llama 3 License page.
Code Sample for Integration
Below is a placeholder for a typical code sample demonstrating how to integrate and use Llama 3 70B Instruct Lite, similar to an OpenAI chat completion endpoint:
client = openai.OpenAI(
base_url="YOUR_LLAMA_3_API_ENDPOINT",
api_key="YOUR_API_KEY",
)
response = client.chat.completions.create(
model="meta-llama/Meta-Llama-3-70B-Instruct-Lite",
messages=[
{"role": "system", "content": "You are a helpful AI assistant."},
{"role": "user", "content": "Explain the benefits of AI in daily life."}
],
max_tokens=150,
temperature=0.7,
)
print(response.choices[0].message.content)
Note: Replace "YOUR_LLAMA_3_API_ENDPOINT" and "YOUR_API_KEY" with your actual API details. The original snippet was dynamic (`<snippet data-name="open-ai.chat-completion" data-model="meta-llama/Meta-Llama-3-70B-Instruct-Lite"></snippet>`), so a generic example is provided.
Frequently Asked Questions (FAQs)
Q1: What is Llama 3 70B Instruct Lite?
A1: It's a powerful large language model from Meta (released April 2024) with 70 billion parameters, optimized for dialogue and instruction following, and designed for assistant-like chat and natural language generation tasks.
Q2: What are its primary applications?
A2: It's ideal for chatbots, customer support automation, content creation, and any task requiring high-accuracy natural language generation and contextual understanding.
Q3: Is Llama 3 70B Instruct Lite available for commercial use?
A3: Yes, a custom commercial license is available, encouraging its adoption in enterprise environments under Meta's ethical usage policies.
Q4: What is the knowledge cutoff date for this model?
A4: The model's knowledge is current up to December 2023. It will not have information on events or data beyond this date.
Q5: Does it support languages other than English?
A5: Natively, it supports English. However, developers can fine-tune the model for additional languages according to Meta’s licensing and usage policies.
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