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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 |
| Contact | Ruslan Magana Vsevolodovna, contact@ruslanmv.com |
| Categories | Other |
| Language | English |
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