Generate code from a description
Convert a GitHub repo to a text file for any LLM to use
Launch PyTorch scripts on various devices easily
Generate code suggestions and fixes with AI
Chatgpt o3 mini
Qwen2.5-Coder: Family of LLMs excels in code, debugging, etc
Optimize PyTorch training with Accelerate
Select training features, get code samples and explanations
Ask questions and get answers with code execution
Generate code from text prompts
Upload Python code to get detailed review
Execute... Python commands and get the result
Build intelligent LLM apps effortlessly
Qwen2.5 Coder Artifacts is a code generation tool designed to help developers create code from descriptions. It leverages advanced AI technology to streamline the coding process, making it easier and faster to generate high-quality code. Whether you're working on a new project or refining existing code, Qwen2.5 Coder Artifacts provides a user-friendly interface and powerful features to meet your coding needs.
What languages does Qwen2.5 Coder Artifacts support?
Qwen2.5 Coder Artifacts supports a wide range of programming languages, including Python, Java, JavaScript, C++, and more. The full list of supported languages is available in the documentation.
Can I customize the code generation process?
Yes, Qwen2.5 Coder Artifacts allows you to use custom templates and adjust settings to tailor the code generation process to your specific needs.
How do I handle errors in the generated code?
The tool includes built-in error checking to help identify issues. If you encounter errors, you can review the generated code, make adjustments, and regenerate as needed. Additionally, you can provide feedback to improve future generations.