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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: 'codellama/CodeLlama-70b-hf',
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="codellama/CodeLlama-70b-hf",
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
✨ Explore the power of Code Llama (70B), an innovative AI-powered coding model setting new standards in software development. With its formidable 70 billion parameters, this model demonstrates exceptional proficiency in comprehending and generating high-accuracy code across a multitude of programming languages. It's meticulously engineered to empower developers by significantly boosting productivity through advanced code generation, intelligent debugging, and optimization, ultimately leading to superior code quality and accelerated project timelines.
🚀 Code Llama (70B) vs. Other Models: A Performance Edge
What truly sets Code Llama (70B) apart is its vast parameter count, which facilitates a profoundly deeper understanding of intricate code syntax, structural nuances, and complex logic than any smaller model can achieve. This translates directly into the ability to generate more accurate, contextually relevant, and semantically correct code. For developers operating in diverse programming environments and tackling multifaceted challenges, Code Llama (70B) emerges as an exceptionally robust and indispensable asset.
💡 Pro Tips for Maximizing Interaction Quality
To harness the full capabilities of Code Llama (70B) and achieve optimal results, the key lies in your input. Always strive to provide detailed descriptions and articulate clear, unambiguous coding requirements. The model's efficiency and accuracy are profoundly enhanced by specific, well-defined, and precise prompts, enabling it to generate highly functional, accurate, and perfectly tailored code solutions that meet your exact specifications.
🌐 Optimizing Code Llama (70B) for Diverse Development Scenarios
Code Llama (70B) is remarkably adaptable, proving invaluable across a wide array of programming scenarios. Whether your task involves rapidly scripting solutions, architecting complex software systems, or accelerating your journey into new coding languages, this versatile model can be fine-tuned to flawlessly meet diverse coding needs. Its flexibility solidifies its position as an invaluable tool for both seasoned professional developers and enthusiastic coding hobbyists alike.
⚙️ API Example: Integrating Code Llama (70B)
Integrating Code Llama (70B) into your applications is streamlined through its API. Below is a illustrative example of how you might structure a chat completion request using the `codellama/CodeLlama-70b-hf` model. This snippet provides a conceptual guide to API interaction.
// Simplified API call for chat completion with Code Llama 70B
POST /v1/chat/completions HTTP/1.1
Host: api.example-platform.com // Replace with actual API endpoint host
Content-Type: application/json
Authorization: Bearer YOUR_AUTHENTICATION_TOKEN
{
"model": "codellama/CodeLlama-70b-hf",
"messages": [
{
"role": "system",
"content": "You are an expert Python developer assistant."
},
{
"role": "user",
"content": "Generate a Flask route that accepts a POST request with JSON data and returns a success message."
}
],
"max_tokens": 250,
"temperature": 0.7
}
❓ Frequently Asked Questions (FAQ) About Code Llama (70B)
Q1: What are the main benefits of using Code Llama (70B)?
Code Llama (70B) significantly enhances developer productivity by providing highly accurate code generation, advanced debugging assistance, and intelligent code optimization. Its large parameter count ensures a deep understanding of code, leading to higher quality and more relevant outputs across various programming tasks.
Q2: How does Code Llama (70B) ensure high code quality?
With its 70 billion parameters, Code Llama (70B) processes an immense amount of code data, enabling it to grasp intricate syntaxes, structures, and logical patterns. This extensive learning allows it to generate code that is not only functional but also adheres to best practices, is contextually appropriate, and is highly accurate, thus elevating overall code quality.
Q3: Can Code Llama (70B) assist with multiple programming languages?
Yes, Code Llama (70B) is designed to be highly versatile and proficient across a wide array of programming languages. Its extensive training allows it to understand and generate code in languages like Python, JavaScript, Java, C++, and many others, making it a flexible tool for polyglot developers.
Q4: What kind of prompts yield the best results from Code Llama (70B)?
The most effective prompts are those that are detailed, specific, and clear. Providing well-defined requirements, desired functionalities, and any relevant context significantly helps Code Llama (70B) generate precise, tailored, and highly functional code that directly addresses your needs.
Q5: Is Code Llama (70B) suitable for both beginners and seasoned developers?
Absolutely. Its powerful capabilities make it an invaluable tool for experienced professionals seeking to optimize complex workflows, while its ability to generate clear code and explain concepts also makes it an excellent assistant for beginners learning new languages or tackling initial coding challenges.
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