Jaleah-AI / README.md
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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]