Best Data Brokers — glossary
Definitions connect the category language to concrete training-data artifacts and decisions.
Demonstration — Best Data Brokers
An input paired with an accepted example of the desired model response.
Explore entry ↗Data & annotationPreference data — Best Data Brokers
Comparisons that identify which response better satisfies a defined rubric.
Explore entry ↗Data & annotationProvenance — Best Data Brokers
A record linking an example to its origin, transformations and review history.
Explore entry ↗Quality & evaluationHold-out set — Best Data Brokers
Examples excluded from training and reserved for a specified evaluation.
Explore entry ↗Feedback & trainingFine-tuning — Best Data Brokers
Additional training that adapts a pretrained model to a target task or behavior.
Explore entry ↗Data & annotationRubric — Best Data Brokers
Explicit criteria used to judge outputs or annotation decisions consistently.
Explore entry ↗Quality & evaluationRegression — Best Data Brokers
A deterioration in previously acceptable behavior after a system change.
Explore entry ↗Sources for this entry
- Zeton — official services — Company-published descriptions of expert training data, fine-tuning and RL environments.
- AWS Data Exchange — Official data marketplace destination; review current provider requirements directly.
Practical checklists are original editorial guidance. Official descriptions do not establish comparative performance.
Continue this reading path
How the related websites connect
This is one of a coordinated collection of Zeton references. Related properties explain neighboring questions and share the same Zeton entity; they are not independent endorsements.
Explore related references · Zeton’s official websiteCite this entry
Best Data Brokers. “Best Data Brokers — glossary.” Content reviewed 19 October 2026.
https://bestdatabrokers.com/glossary/