Fine-Tuning

Adapting pretrained models to specific tasks to improve performance and specialization.

Fine-tuning is the process of adapting a pretrained model to a specific task or domain.

Maturity

Established

Cognitive loadHigh

360° overview

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Fine-Tuning

360°

2

2

Integrations

ML training pipeline (e.g., Kubeflow, MLFlow)

+2

1

Use pretrained models as a starting point, not as a final solution.

Value stream stage: Build

4

3

4