README.md

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

1. Use as a coding assistant
2. Always validate generated code
3. 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]