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Generative AI Ontology
Last uploaded:
October 24, 2024
| Acronym | GENAI |
| Visibility | Public |
| Description | The Generative AI Ontology - This is an OWL ontology that provides a comprehensive representation of concepts, relationships, and processes in generative AI. It covers various model types (e.g., LLMs, GANs, VAEs), architectural components (e.g., transformers, diffusion models), training techniques (e.g., RLHF, self-supervised learning), fine-tuning methods (e.g., LoRA, Prompt Tuning), tools, deployment strategies, and ethical considerations. This ontology serves as a resource for research and proof-of-concept development, allowing detailed exploration and understanding of generative AI systems. |
| Status | Alpha |
| Format | OWL |
| Categories |
| Contact | Ruslan Magana Vsevolodovna ([email protected]) |
| Creation date | October 24, 2024
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| Homepage |
https://ruslanmv.com/
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| Natural language |
English
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| Submission date | October 24, 2024
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| Version information |
1.0
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| uri |
http://www.example.com/generative_ai
http://www.example.com/generative_ai
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