Assess trained candidates against an independent benchmark
Measure actual trained-model behavior separately from generation checks and provider job status.
Prerequisites
An identifiable training output, a supported inference path, and an assessment population kept separate from training.
Steps
- Confirm the provider job completed and identify its resulting model.
- Check how the selected inference connection or endpoint is associated with that output.
- Authorize evaluation separately through the supported Results workflow. Inspect actual responses, rubric judgments, and completeness.
- Compare against the intended baseline under interpretable benchmark and execution conditions. Examine both improvements and protected behavior.
Object and state changes
Training records a provider operation. Evaluation records the behavior of the identified trained candidate through its configured inference path.
Success criteria
A claimed improvement resolves to actual model behavior on the intended independent population.
Common failure modes
Using job completion as an evaluation; assessing an endpoint that still serves a different model; evaluating only on teaching examples.