Welcome to the Generative AI Glossary, a comprehensive and organized repository of terms, concepts, and tools related to generative artificial intelligence. This glossary serves as a one-stop resource for anyone looking to learn more about the terminology used in this rapidly growing field.
Below is the list of categories and subcategories in the glossary. Click on each link to explore the related markdown files:
- Applications
- Text Generation
- Image Synthesis
- Audio Generation
- Video Generation
- Multimodal Applications
- Domain-Specific Applications
- Ethics and Challenges
- Bias and Fairness
- Privacy Safeguards
- Emerging Ethical Issues
- Regulation and Governance
- Generative AI Models
- Knowledge-Based Generative Models
- Open-Source GenAI Platforms
- Proprietary GenAI Platforms
- Model Evaluation
- Retrieval Models
- Model Benchmarks
- Implementation Techniques and Tools
- LLM Techniques
- Query and RAG Methods
- Embedding Tools
- Search Metrics
- Retrieval and Integration Frameworks
- Tools for Evaluation
- AI Deployment and Orchestration Tools
- Advanced Retrieval Methods
- Search Tools and Platforms
- Advanced RAG Methods
- Embedding-Based Techniques
- Fine-Tuning Approaches
- Evaluation of RAG
- Specialized Applications
- Emerging Trends and Advanced Concepts
- Generative Practices
- Explainable AI (XAI) in Generative Models
- AI for Real-Time Applications
- Multimodal Generative Models
- Advanced Embedding
For a full visualization of the glossary structure, check out our mind map.
This glossary is structured into categories and subcategories to make it easier to navigate. Each term includes:
- A clear and concise definition.
- Examples or contexts where the term is commonly used.
- Links to external resources for further exploration.
You can download the glossary in different formats to suit your needs:
These resources are updated regularly, so be sure to check back for the latest version.
We value your feedback to improve and expand this glossary! You can:
- Open an issue in this repository using the GitHub Issue Template.
- Provide detailed suggestions for new terms, corrections, or general improvements.
To suggest updates or add new terms:
- Fork the repository.
- Create or edit a file under the
categories/directory. - Submit a pull request with your proposed changes. Please include:
- Clear definitions.
- Citations or references, if applicable.
- Example contexts, if possible.
Refer to our CONTRIBUTING.md file for detailed instructions.
We’ve curated links to additional resources to complement this glossary:
This project is licensed under the MIT License. Feel free to use and contribute to the glossary in accordance with this license.