A town clerk needs everyday English rewrites of public notices and has almost no labeled examples. A creamery needs a fault predictor from a private 12-year pasteurizer log. Which pairing of model sources is accurate?
Select an answer to reveal the explanation.
Short Explanation
Think of borrowing a well-read dictionary for everyday rewrites, and building a private recipe book for the pasteurizer. Little labeled notice text is a job for an open pretrained or foundation model. A 12-year private log is a job for a custom model. Clustering filenames does not pick the source.
Full Explanation
A general language job with little labeled data is a case for an open pretrained or foundation model. A specific private log is a case for a custom-trained model. Everyday rewriting does not require a large local labeled set. Private logs are exactly the kind of data custom training can use. Filename clustering does not choose a model source.