TLDR:
This article outlines a layered model for strategically adopting generative AI within enterprises. The core components include:
- Data layer - Curating high-quality, domain-specific datasets to provide the knowledge base for generative models.
- Knowledge base layer - Structuring and indexing data for efficient querying by models during inference.
- Integration layer - Unifying diverse services into a cohesive, modular AI platform.
- Prompt engineering layer - Creating and optimizing interactions between humans and AI models.
- Application layer – Providing interfaces for end users to interact with the intelligent assistant or services.
Together these layers enable businesses to leverage generative AI as a flexible tool tailored
