A community bread-oven reservation desk picks a huge general model that will not run on the current test server and cannot grow with Saturday rush. What strategy aspect is missing in that LLM choice?
Select an answer to reveal the explanation.
Short Explanation
A giant model on a tiny server is like booking a parade float for a bicycle lane. Strategy requires selecting LLMs that fit the test objectives, the existing infrastructure, and scalability needs. Brand size alone is not a strategy.
Full Explanation
Within a GenAI testing strategy, selecting the right LLMs means aligning candidates with stated test objectives, current test infrastructure, and expected scale. Detailed selection criteria deepen this in a later syllabus item; here the point is infrastructure and scale fit as a strategy aspect. Attack-vector catalogs, CT-AI coverage techniques, and unmanaged personal runtimes are not substitutes for that alignment.