Generative AI is an AI or data concept used to build, steer, or connect models and their knowledge.
Simple definition
Generative AI is an AI or data concept used to build, steer, or connect models and their knowledge. It belongs to the IA / Data vocabulary.
What is it used for?
Its main purpose is to improve generation, reasoning, retrieval, or tool integration.
How does it work?
models transform inputs into representations or outputs and may rely on context, embeddings, tools, or vector databases.
Key points
- Scope: An AI or data concept used to build, steer, or connect models and their knowledge.
- Operational goal: Improve generation, reasoning, retrieval, or tool integration.
- Mechanism: models transform inputs into representations or outputs and may rely on context, embeddings, tools, or vector databases.
Points to watch
Data quality, permissions, and output validation remain necessary even with capable models.
In short
Generative AI is a IA / Data concept to know when you need to improve generation, reasoning, retrieval, or tool integration.