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