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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: 'garage-bAInd/Platypus2-70B-instruct',
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="garage-bAInd/Platypus2-70B-instruct",
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
Platypus2-70B-Instruct: An Advanced AI Model for Precision Guidance
The Platypus2-70B-Instruct model stands out as a highly sophisticated AI, featuring an impressive 70 billion parameters. It is expertly engineered to comprehend and generate extremely precise instructional content, making it an indispensable asset across various sectors. Its unparalleled ability to dissect complex queries and deliver clear, actionable guidance positions it as a critical tool for robust decision-making in fields such as business, advanced technology, and comprehensive research. This model's capacity to synthesize vast data into explicit instructions truly distinguishes it within the landscape of instructional AI solutions. ⚙
Model Specifications
👤 Trained By:
- Platypus2-70B: Cole Hunter & Ariel Lee
- Llama-2-70B-instruct: upstageAI
📚 Model Type:
Platypus2-70B-instruct is an auto-regressive language model built upon the advanced LLaMA 2 transformer architecture.
🌐 Languages: English
Versatile Use Cases for Platypus2-70B-Instruct
This model is perfectly suited for applications demanding meticulous analysis and unequivocal directives. Its primary applications include:
- Project Management: Streamlining complex projects with clear instructions.
- Technical Troubleshooting: Providing accurate, step-by-step solutions to intricate problems.
- Strategic Planning: Offering data-driven insights for critical business decisions.
Its precision and depth make it exceptionally valuable for professionals in specialized fields such as engineering, data science, and healthcare, where accurate guidance is paramount. The Platypus2-70B-Instruct model is designed to significantly boost productivity by delivering expert-level instructions and enabling intelligent automations. 💬
How Platypus2-70B-Instruct Compares to Other Models
Distinguishing itself from general-purpose AI models, Platypus2-70B-Instruct specializes in generating highly specific instructional and directive content. It consistently surpasses comparable models in both the clarity and specificity of the instructions it provides. This superior performance is a direct result of its targeted training and meticulous optimization for instructional tasks. Such specialization ensures that the guidance offered is not only accurate but also directly applicable, providing a tangible and significant advantage in professional and operational environments. 🔥
Maximizing Efficiency & Optimizing Results
To harness the full potential of Platypus2-70B-Instruct, consider these key strategies:
- Structured Input: Ensure all input data is well-structured and highly relevant to your specific queries.
- Tailored Prompts: Craft precise prompts that align with the exact needs of your projects to enable the model to leverage its capabilities most effectively.
- Contextual Integration: Integrate the model within a broader decision-support system to enhance its utility by providing richer context for its outputs.
Providing detailed, context-rich prompts is crucial for optimal performance, guaranteeing that the generated instructions and guidance are precisely tailored to user requirements, thereby maximizing relevance and applicability. 🔧
Seamless API Integration for Strategic Guidance
Platypus2-70B-Instruct offers versatile API interactions to suit diverse operational demands:
- Synchronous Requests: Ideal for real-time decision-making, providing immediate responses.
- Asynchronous Calls: Perfect for processing complex, multi-faceted queries without blocking operations.
Selecting the appropriate API call type based on your application's specific needs will significantly maximize the efficiency of your interactions with the model. Integrating Platypus2-70B-Instruct via its APIs into your decision-making processes equips organizations with a formidable tool for navigating intricate scenarios. The model’s precise and actionable instructions empower users to make informed decisions swiftly, ensuring every strategic move is underpinned by robust AI-driven insights. 💻
API Example:
// Example of an API call to Platypus2-70B-Instruct
fetch('https://api.example.com/platypus2-70b-instruct/generate', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer YOUR_API_KEY'
},
body: JSON.stringify({
prompt: 'Explain the benefits of quantum computing in simple terms.',
max_tokens: 500,
temperature: 0.7
})
})
.then(response => response.json())
.then(data => console.log(data.instructions))
.catch(error => console.error('Error:', error));
Frequently Asked Questions (FAQ)
Q1: What is Platypus2-70B-Instruct and what makes it unique?
A1: Platypus2-70B-Instruct is an advanced AI model with 70 billion parameters, specifically designed to generate highly precise and actionable instructional content. Its uniqueness lies in its specialized training, which allows it to excel in interpreting complex queries and providing clearer, more specific guidance than general-purpose models.
Q2: What are the primary applications of Platypus2-70B-Instruct?
A2: It's ideal for applications requiring detailed analysis and clear directives, such as project management, technical troubleshooting, and strategic planning. Professionals in engineering, data science, and healthcare can greatly benefit from its accurate guidance.
Q3: How can I maximize the efficiency of Platypus2-70B-Instruct?
A3: To achieve optimal results, ensure your input data is well-structured and relevant. Tailor your prompts to the precise needs of your projects, and consider integrating the model within a broader decision-support system for enhanced context.
Q4: What types of API calls does Platypus2-70B-Instruct support?
A4: The model supports various API interactions, including synchronous requests for real-time decision-making and asynchronous calls for processing complex, multi-faceted queries efficiently.
Q5: Is Platypus2-70B-Instruct suitable for mobile applications?
A5: While the model itself runs on servers, the HTML output is designed to be mobile-compatible. Developers integrating the API into mobile applications can ensure their front-end design is responsive to display the model's precise instructions effectively on mobile devices.
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