A locksmith shop has about two hundred PDF manuals. Techs need answers such as what torque a cylinder needs, taken from those existing documents. They do not have a labeled set of past torque numbers to train a numeric predictor. Which approach fits?
Select an answer to reveal the explanation.
Short Explanation
Think of flipping to the right page in the manual instead of inventing a torque from thin air. The answer already lives in those PDFs, and there is no labeled set of past numbers to train on. A filename cluster or a door camera will not spit out inch-pounds.
Full Explanation
When the answer already lives in documents, the job is knowledge-base lookup, not training a predictor. The shop has manuals and no labeled torque dataset, so regression has nothing proper to fit. A filename cluster is not a torque value. A door camera does not read cylinder specs from PDFs.