Part 5/13:

1. Engineering Techniques: Choosing optimal data formats, training methods (like few-shot or one-shot learning), and model deployment strategies.

2. The Contextual Data Layer: The secret sauce—the integration of metadata, vector embeddings, knowledge graphs, and more to ground AI responses in factual, relevant, and current information.

The contextual data layer ensures that AI responses are factual, relevant, and aligned with specific organizational nuances.

Sources of Context: From Data to Institutional Knowledge

Constructing a rich contextual layer begins with identifying where the context originates:

• Structured Data and Metadata: Data definitions, data dictionaries, data quality rules, classifications, and data lineage.