metadata
language:
- en
- code
tags:
- code-generation
- ai-assistant
- programming
license: mit
datasets:
- custom
metrics:
- code-completion-accuracy
model-index:
- name: Jaleah AI Coder
results:
- task:
type: text-generation
name: Code Generation
dataset:
name: Custom Programming Dataset
type: custom
metrics:
- type: code-completion
value: experimental
Model Card: Jaleah AI Coder
Model Details
- Developed by: teckmill
- Model type: Code Generation AI
- Primary Language: Python
- Version: 1.0
Model Purpose
Jaleah AI is an intelligent code generation model designed to assist developers by:
- Generating code snippets
- Providing programming suggestions
- Helping with code completion
Model Capabilities
- Understands programming context
- Generates syntactically correct code
- Supports multiple programming paradigms
Limitations
- Experimental technology
- May generate incorrect or incomplete code
- Requires human verification and review
Ethical Considerations
- Not intended to replace human developers
- Should be used as an assistive tool
- Always review generated code before implementation
Usage Recommendations
- Use as a coding assistant
- Always validate generated code
- Do not rely solely on AI-generated code for critical systems
Licensing
MIT License
Contact
For more information, issues, or collaboration:
- GitHub: [Your GitHub Repository]
- Email: [Your Contact Email]