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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-13b-Instruct-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-13b-Instruct-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
✨ Introducing Code Llama Instruct (13B)
Code Llama Instruct (13B) is a cutting-edge AI model specifically engineered for the demands of the software development industry. With its robust 13 billion parameters, this model excels at comprehending complex programming instructions and generating highly accurate, efficient code across a multitude of programming languages. It's designed to be a powerful co-pilot for developers, transforming how code is written and refined.
🚀 Enhanced Coding Efficiency
This sophisticated AI is built to significantly streamline coding workflows. From automating repetitive tasks to tackling intricate programming challenges, Code Llama Instruct (13B) empowers developers. It provides intelligent code suggestions, aids in debugging existing codebases, and optimizes algorithms, ultimately boosting productivity and elevating the overall quality of software.
💡 Unrivaled Comparative Advantages
Code Llama Instruct (13B) stands out from its counterparts through its profound understanding of coding nuances and its remarkable ability to produce coherent, functional code. Its extensive parameter count facilitates a deep, nuanced comprehension of diverse programming languages and paradigms, positioning it as a leader in AI-driven code generation and complex problem-solving.
🛠️ Flexible Customization and Adaptability
The model offers exceptional flexibility, allowing its capabilities to be precisely tailored to specific programming languages, coding styles, and project requirements. This high degree of adaptability makes it seamlessly integrable into various development environments and tasks. Whether it's for a specialized niche or a broad application, Code Llama Instruct (13B) provides support perfectly aligned with developers' unique needs.
🎯 Revolutionizing Software Development
At the forefront of AI innovation, Code Llama Instruct (13B) is set to redefine software development. By leveraging this advanced model, developers and organizations can achieve unprecedented standards in code quality, significantly accelerate development cycles, and cultivate an environment of technical excellence and continuous innovation. Embrace the future of coding with Code Llama Instruct (13B).
🔗 Seamless API Integration
For developers looking to integrate this powerful AI into their applications, Code Llama Instruct (13B) offers a straightforward API. Detailed documentation and example usage are typically available on the official platform to guide integration.
❓ Frequently Asked Questions (FAQ)
A: Code Llama Instruct (13B) is an advanced AI model with 13 billion parameters, specifically designed for software development to understand complex coding instructions and generate efficient code across various programming languages.
A: It streamlines coding tasks by automating routine operations, providing code suggestions, assisting in debugging, and optimizing algorithms, thereby boosting developer productivity and code quality.
A: Its large parameter count allows for a deeper, more nuanced understanding of diverse programming languages and paradigms, resulting in more coherent, functional, and accurate code generation compared to other models.
A: Yes, its capabilities can be highly tailored to specific programming languages, coding styles, and project requirements, making it incredibly adaptable for various development workflows.
A: It can significantly improve code quality, accelerate development cycles, and foster a culture of technical excellence and innovation, leading to more efficient and advanced software solutions.
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