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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: 'WizardLM/WizardCoder-Python-34B-V1.0',
messages: [
{
role: 'system',
content: 'You are SQL code assistant.',
},
{
role: 'user',
content: 'Could you please provide me with an example of a database structure that I could use for a project in MySQL?'
}
],
});
const message = result.choices[0].message.content;
console.log(\`Assistant: \${message}\`);
};
main();
import os
from openai import OpenAI
def main():
client = OpenAI(
api_key="",
base_url="https://api.ai.cc/v1",
)
response = client.chat.completions.create(
model="WizardLM/WizardCoder-Python-34B-V1.0",
messages=[
{
"role": "system",
"content": "You are SQL code assistant.",
},
{
"role": "user",
"content": "Could you please provide me with an example of a database structure that I could use for a project in MySQL?",
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
if __name__ == "__main__":
main()
-
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Product Detail
WizardCoder Python v1.0 (34B) is a cutting-edge AI assistant specifically engineered to elevate Python development. With an impressive architecture of 34 billion parameters, this powerful tool offers profound insights and sophisticated suggestions, drastically streamlining the coding workflow and significantly boosting code quality across various projects. It's designed to be an indispensable asset for developers aiming for efficiency and excellence.
✨ Unrivaled Performance: Stepping Beyond Smaller Models
The sheer scale of WizardCoder Python v1.0 (34B) truly sets it apart. While smaller models offer basic assistance, WizardCoder's vast parameter count enables a deeper understanding and a superior capability to handle highly complex coding challenges. This translates into more nuanced, context-aware, and exceptionally accurate code generation, establishing a new benchmark for AI-driven Python development tools.
💡 Unlock Your Potential: Strategic Use Cases
- ✅ Automate Repetitive Tasks: Delegate mundane coding chores to WizardCoder, freeing your valuable time to concentrate on more intricate problems, innovative solutions, and creative design.
- 📈 Enhance Code Quality: Leverage its advanced analytical prowess to proactively identify potential issues, optimize performance, and ensure your Python code adheres to the highest industry standards.
- 📚 Accelerate Learning: Utilize the model as an interactive learning resource. Gain unparalleled insights into best coding practices, discover elegant solutions, and broaden your understanding of Python development principles.
🚀 Driving Innovation: The Core of AI-Powered Development
The remarkable effectiveness of WizardCoder Python v1.0 (34B) in transforming coding workflows stems from its sophisticated algorithmic comprehension and extensive data processing capabilities. This synergy facilitates the generation of highly optimized, virtually error-free code that not only meets but often exceeds industry benchmarks, pushing the boundaries of what's possible in Python development.
🌐 Versatile Integration: A Spectrum of API Interactions
WizardCoder Python v1.0 (34B) is engineered to accommodate a diverse range of API calls, ensuring seamless integration into virtually any Python development environment. Its flexibility empowers developers to tackle various tasks, from generating concise code snippets and intelligent autocompletions to delivering comprehensive code reviews, refactoring suggestions, and intricate optimizations. This adaptability makes it an indispensable component of any modern Python developer’s toolkit.
💻 Practical Application: Illustrative API Interaction
To give you a glimpse into its practical application, here’s an example of how you might interact with a similar AI model via an API to generate Python code:
import requests
import json
# Placeholder URL - Replace with actual API endpoint
API_URL = "https://api.example.com/wizardcoder/generate"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer YOUR_API_KEY" # Replace with your actual API key
}
payload = {
"model": "WizardLM/WizardCoder-Python-34B-V1.0",
"prompt": "Write a Python function to calculate the factorial of a number.",
"max_tokens": 150,
"temperature": 0.7
}
try:
response = requests.post(API_URL, headers=headers, data=json.dumps(payload))
response.raise_for_status() # Raise an exception for HTTP errors
result = response.json()
print("Generated Code:")
print(result.get("choices", [{}])[0].get("text", "No code generated."))
except requests.exceptions.RequestException as e:
print(f"API Request failed: {e}")
Please note: This is an illustrative example. Actual API endpoints and parameters may vary. For official documentation and up-to-date API usage, refer to the WizardCoder API Documentation.
❓ Frequently Asked Questions (FAQ)
Q1: What makes WizardCoder Python v1.0 (34B) stand out from other AI coding assistants?
A1: Its primary distinction lies in its 34 billion parameters, allowing for an unparalleled depth of understanding and highly contextual, nuanced code generation that significantly surpasses smaller models in complexity handling and accuracy.
Q2: Can WizardCoder help with debugging or optimizing existing Python code?
A2: Absolutely. WizardCoder's advanced analysis capabilities are designed to not only generate new code but also to review, debug, and suggest optimizations for existing Python code, helping to improve its quality and performance.
Q3: Is WizardCoder Python v1.0 (34B) suitable for beginners or only experienced developers?
A3: It's beneficial for both. Experienced developers can automate tasks and optimize complex code, while beginners can use it as a powerful learning tool to understand best practices and generate correct code examples.
Q4: How does WizardCoder ensure the generated code is aligned with industry standards?
A4: Leveraging its vast training data and sophisticated algorithms, WizardCoder is trained on a massive corpus of high-quality Python code, enabling it to generate code that adheres to common coding standards, best practices, and often, specific style guides.
Q5: Can I integrate WizardCoder into my existing development environment?
A5: Yes, WizardCoder Python v1.0 (34B) is designed with versatile API calls to facilitate seamless integration into various development workflows and environments, offering flexibility for different coding tasks.
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