Model Adaptation · Software component

Training Hyperparameter Tuner

Software componentModel AdaptationModelsarc:TrainingHyperparameterTuner

An automated component that explores model architectures, learning rates, training durations and regularization settings for training jobs without manual configuration.

Responsibility. Selects training hyperparameters automatically.

Also known as: Automatic hyperparameter tuning

Direct neighbourhood (hover for relationship types)

Relationships

invokes dependency

Reward Model Trainer Ch3.5

Classification

Technologies: NVIDIA NeMo Customizer
Quality attributes: Interaction capability (ISO/IEC 25010)Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Dependence on specialized RL expertise

Sources

Ch3.5: T. Nguyen, "Prompt Optimization, Few-Shot Learning, Fine-Tuning," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 3.5. ISBN: 9798244538229.