A school-lunch allergy team is quoted three weeks to “train a model on our menus” before anyone may ask for test cases. What practical tester benefit of pre-trained LLMs answers that delay?
Select an answer to reveal the explanation.
Short Explanation
You ask a librarian who already studied; you do not rebuild the library first. Pre-trained LLMs are usually prompted for the test task rather than retrained per request. That benefit is about access speed, not skipping review of allergy-sensitive outputs.
Full Explanation
Pre-trained GenAI and LLMs let testers apply prompting to draft cases and related artefacts without commissioning a new training cycle for each task. The three-week “train on our menus first” quote mixes classical training expectations with how testers normally use LLMs. Review against the real allergy rules remains necessary. The item stays at tester awareness and does not turn into an ML-engineer training design exercise.