Pilot representative captions: Which evidence should resolve | AIGP
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Pilot representative captions: Which evidence should resolve approval?

AIGP Understanding How to Govern AI Deployment and Use Hard

A representative local pilot must measure terminology quality, resource use, and fallback behavior together.

The question

A media company must generate captions on editing laptops with limited memory and intermittent connectivity. A small model meets memory limits but misses specialized terminology; a larger model improves terminology but exceeds available resources. Which evidence should resolve approval?

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  1. Compare generic benchmark scores across available models.
    Generic scores may not predict specialized caption quality or feasibility on the constrained editing laptops.
  2. Pilot representative captions, resource use, and fallback performance locally. ✓
    A local pilot tests both interacting constraints: specialized terminology quality and resource or connectivity feasibility.
  3. Choose the smaller model because local execution reduces infrastructure dependence.
    Local execution may improve availability, but the known terminology weakness remains unresolved for the intended captioning task.
  4. Choose the larger model because terminology accuracy drives quality.
    The larger model may improve terminology but cannot satisfy the stated memory and intermittent-connectivity constraints without further evidence.
The trap
When constraints interact, select evidence that measures them together in the intended environment.

How to remember it

A representative local pilot must measure terminology quality, resource use, and fallback behavior together.

How many of these would you get right?

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