A comprehensive guide to understanding and implementing generative AI systems.
This repository provides in-depth documentation and resources covering all aspects of generative AI, from fundamental concepts to practical implementation considerations. Our goal is to create a thorough understanding of generative AI systems and their development.
docs/
- Comprehensive documentation organized by topic
- Detailed guides and explanations
- Best practices and implementation strategies
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Fundamental Concepts
- Architecture Components (Transformers, Encoders, Decoders)
- Types of Generative AI (Language, Image, Audio, Video)
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Development Process
- Data Collection & Preparation
- Model Development & Training
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Deployment & Maintenance
- Infrastructure Setup
- Monitoring & Updates
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Evaluation & Optimization
- Performance Metrics
- Optimization Techniques
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Ethical Considerations
- Bias Mitigation
- Safety & Compliance
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Advanced Topics
- Current Research
- Future Directions
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Practical Considerations
- Resource Requirements
- Cost Analysis
Navigate to the docs directory and start with the fundamental concepts section. Each topic includes detailed explanations, examples, and best practices.
We welcome contributions to improve and expand this guide. Please ensure your contributions align with our documentation structure and maintain high-quality standards.
This project is licensed under the terms included in the LICENSE file.