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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-7b-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-7b-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
Code Llama Instruct (7B) is an advanced AI model engineered to revolutionize the coding experience. It specializes in generating accurate code snippets and meticulously adhering to complex programming instructions, positioning it as an indispensable asset for developers. With a paramount focus on user-friendliness and peak efficiency, this model empowers professionals to rapidly transform conceptual ideas into robust code, streamline debugging processes, and refine existing codebases with remarkable agility.
✅ Optimized Balance: Performance Meets Resource Efficiency
While its more expansive 34B counterpart offers broader computational capabilities, Code Llama Instruct (7B) presents a highly accessible gateway to AI-assisted development. This version expertly balances formidable performance with crucial resource efficiency, thereby eliminating the demand for the extensive computational infrastructure typically required by larger models. Its optimized design makes it an exceptionally versatile solution for a wide spectrum of development tasks, serving the needs of both individual programmers and agile development teams effectively.
💡 Essential Strategies for Maximizing Code Llama Instruct (7B) Efficiency
- Precision in Instructions: To achieve superior outcomes from the code generation process, it is paramount to furnish clear, explicit, and concise instructions. The granularity and specificity of your prompts directly dictate the accuracy and relevance of the generated code.
- Facilitating Learning and Skill Advancement: Leverage Code Llama Instruct (7B) as a powerful educational instrument. By exploring diverse coding styles and alternative solutions, developers can significantly enhance their programming proficiency and broaden their problem-solving perspectives.
- Seamless Workflow Integration: Integrating the model directly into your established development workflow can lead to a substantial acceleration of coding and debugging cycles. This seamless incorporation dramatically boosts overall productivity and project velocity.
⚙️ Strategic Prompting for Optimal Code Generation
The efficacy of Code Llama Instruct (7B) in producing high-quality code is directly proportional to the specificity and granularity of the prompts you provide. Clearly articulated tasks and well-defined objectives are foundational for generating code outputs that are not only accurate but also genuinely useful. Emphasizing detailed instruction crafting is paramount for unlocking optimal results and ensuring the relevance of the generated code.
💻 Comprehensive API Call Functionality
Code Llama Instruct (7B) supports an extensive repertoire of API calls, thoughtfully designed to cater to a diverse array of development necessities. From generating rapid code snippets for straightforward tasks to assisting with intricate problem-solving, its inherent versatility ensures that developers can effectively utilize the model across every phase of the software development lifecycle. This comprehensive API support significantly enhances both developer productivity and the overarching quality of the resultant code.
✨ Illustrative API Integration Example
Below is a practical representation of how the API can be seamlessly integrated into your projects:
❓ Frequently Asked Questions (FAQ)
-
Q: What is the primary function of Code Llama Instruct (7B)?
A: Its main purpose is to generate precise code snippets and follow detailed programming instructions, thereby simplifying and accelerating the coding process for developers. -
Q: How does the 7B model compare to the larger 34B version?
A: The 7B version offers a more resource-efficient and accessible pathway to AI-assisted development, delivering a balance between strong performance and lower computational requirements, making it suitable for a broader range of tasks. -
Q: What is the most effective way to obtain optimal results from Code Llama Instruct (7B)?
A: Providing clear, concise, and highly specific instructions or prompts is crucial for generating accurate and maximally useful code outputs. -
Q: Can this model assist with code debugging?
A: Yes, it is designed to be integrated into the development workflow to accelerate both coding and debugging processes, aiding developers in refining and troubleshooting their existing codebases efficiently. -
Q: What range of API calls does Code Llama Instruct (7B) support?
A: It supports a comprehensive array of API calls, from generating simple code snippets to handling more complex problem-solving tasks, thereby enhancing productivity across all stages of the software development lifecycle.
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