Agentic AI Reference Architecture

Model Adaptation · Data artifact

Production Feedback Dataset

Data artifactModel AdaptationModelsarc:ProductionFeedbackDataset

A curated training dataset built from production inference logs, human corrections, user feedback and clarified intents for periodic model retraining.

Responsibility. Supplies real-user training data that reflects production language and failure cases.

Also known as: Flywheel training data

is read byis produced byFine-Tuning Pipeline: is read byFine-Tuning PipelineData Curator: is produced byData Curator
Direct neighbourhood (hover for relationship types)

Relationships

is read by dependency

is produced by lifecycle

Classification

Patterns
Data flywheel
Quality attributes
Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated
Training data that reflects idealized rather than real user language

Sources

  1. Ch10.1: T. Nguyen, "Conversational UI," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.1. ISBN: 9798244538229.