Define the task
Begin with a specific outcome and a rubric. Identify the source inputs, the tools a model may use, and the criteria a human reviewer would apply to a successful result.
Evaluate each dimension
For images, examine grounding and spatial relationships. For text, examine instruction following, source grounding, and ambiguity. For audio, account for noise, overlapping speech, and unclear passages. For video, test event order and continuity. For coding, verify execution, behavior, and compatibility with the surrounding system.
Record the conditions
Preserve the model version, prompt, input transformations, sampling settings, and test-set composition. Distinguish repeated trials from unique examples, and report the way results are aggregated.
Review failures and uncertainty
Inspect incorrect responses and cases where the model should ask for clarification. A task set should contain ambiguity and contradictions, not only clean inputs with straightforward answers.
Current publication status
This page describes an evaluation framework. No measured benchmark scores, comparative rankings, or independently verified performance results for Nymoru AI V1.2 are published on this site.