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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: 'Salesforce/codegen2-16B',
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="Salesforce/codegen2-16B",
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 CodeGen2 (16B): A New Era of Program Synthesis
Dive into the world of advanced AI with CodeGen2-16B, a powerful and innovative autoregressive language model developed by Salesforce AI Research. Released in May 2023, this 16-billion parameter model is engineered to redefine program synthesis, offering unparalleled capabilities in code generation and comprehension across a diverse range of programming languages.
💡 Basic Information
- Model Name: CodeGen2-16B
- Developer/Creator: Salesforce AI Research
- Release Date: May 2023
- Version: 2.0 16B
- Model Type: Autoregressive Language Model
✨ Key Capabilities of CodeGen2-16B
- Multi-turn Program Synthesis: Facilitates a dynamic collaboration between the model and developers, enabling interactive code creation and refinement.
- Infill Sampling for Code Completion: Offers precise and elegant solutions for filling in missing code segments, significantly enhancing developer productivity.
- Instruction Tuning: A highly responsive model that accurately understands and executes intricate code generation instructions, adapting to specific development needs.
🎯 Intended Use & Broad Applications
CodeGen2-16B serves as an indispensable AI assistant for developers across various programming disciplines. It's a versatile tool meticulously designed to significantly aid in both writing and understanding code, streamlining a multitude of development tasks. From generating fresh code snippets to intelligently completing complex functions, this model empowers coders to seamlessly integrate and leverage the full potential of AI in their daily coding endeavors.
🌐 Extensive Language Support
CodeGen2-16B boasts comprehensive support for an impressive array of programming languages and frameworks, solidifying its position as an invaluable asset for diverse development environments. Supported languages include:
C, C++, C-Sharp, Dart, Go, Java, Javascript, Kotlin, Lua, PHP, Python, Ruby, Rust, Scala, Shell, SQL, Swift, Typescript, and Vue.
🛠️ Technical Insights into CodeGen2 (16B)
🏗️ Model Architecture
At its core, CodeGen2-16B is meticulously built upon a robust Transformer-based architecture. This powerful foundation, combined with an impressive 16 billion parameters, allows it to process and generate code with remarkable efficiency and accuracy. Advanced techniques such as Flash Attention further enhance its operational speed, making it one of the faster models in its class despite its substantial parameter count.
📚 Training Data
This model underwent rigorous training on a carefully curated, stricter permissive subset of "The Stack Dataset (v1.1) - Deduplicated Version" , ensuring high-quality and relevant training input.
⏳ Knowledge Cutoff
The model's knowledge base is kept current up to its training data, reflecting information available through June 2022. This means its understanding of new languages, frameworks, or events after this date may be limited.
⚖️ Diversity and Potential Biases
The training data for CodeGen2-16B encompasses a broad spectrum of programming languages and domains, contributing to its versatile performance. While this diversity is a significant strength, discussions regarding the precise diversity metrics and potential biases inherent in such a large dataset are complex and necessitate ongoing research and careful consideration. Specific details on these critical aspects are not publicly available at this time.
💻 How to Utilize CodeGen2 (16B)
🔌 API Integration Example
Integrating CodeGen2-16B into your development projects is streamlined through its dedicated API. While the specific code snippet for integration can vary based on your environment, it typically involves calling a defined endpoint for tasks such as code completion or generation, adhering to standard API best practices. Below is a conceptual example:
# Example placeholder for API usage (Python)import requestsurl = "https://api.salesforce.ai/codegen2-16b/generate"headers = {"Authorization": "Bearer YOUR_API_KEY"}data = {"prompt": "def factorial(n):", "max_tokens": 50, "temperature": 0.7}response = requests.post(url, headers=headers, json=data)# Process response.json() for generated code
🛡️ License Information
CodeGen2-16B is generously provided to the broader research community under the Salesforce AI Research license. This specific license permits its use exclusively for research and non-commercial purposes, fostering ongoing innovation and further exploration in the dynamic fields of AI and advanced code generation.
❓ Frequently Asked Questions (FAQ)
Q1: What exactly is CodeGen2-16B?
A: CodeGen2-16B is an advanced 16-billion parameter autoregressive language model developed by Salesforce AI Research. It specializes in program synthesis, capable of both generating and understanding code across a wide variety of programming languages.
Q2: What are the primary capabilities of CodeGen2-16B?
A: Its key capabilities include multi-turn program synthesis for interactive code creation, infill sampling for precise code completion, and instruction tuning, allowing the model to follow specific code generation directives effectively.
Q3: Which programming languages does CodeGen2-16B support?
A: It boasts extensive support for numerous languages, including C, C++, C-Sharp, Dart, Go, Java, Javascript, Kotlin, Lua, PHP, Python, Ruby, Rust, Scala, Shell, SQL, Swift, Typescript, and Vue.
Q4: What is the licensing model for CodeGen2-16B?
A: The model is released under the Salesforce AI Research license, which permits its use strictly for research and non-commercial purposes, fostering academic and non-profit advancements.
Q5: How current is CodeGen2-16B's knowledge base?
A: The model's knowledge is based on its training data, which has a cutoff date of June 2022. Therefore, information or developments after this period may not be reflected in its knowledge.
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