A public-works yard tags every field note as close, reopen, or inspect, and a vendor quotes a 70-billion-parameter chat model for that three-label job. What should the software team pick?
Select an answer to reveal the explanation.
Short Explanation
close, reopen, or inspect is a three-label job. A small encoder classifier is faster and easier to control than a 70B chat model writing essays. Pretraining Megatron on a handful of yard notes, or calling cuGraph, is the wrong stack.
Full Explanation
Closed-label NLP tasks such as three-way text classification are usually served by an encoder and a small classification head. A large generative chat model can emit a label, but it is slower, harder to constrain, and more expensive than a small task model. Pretraining a giant model from a handful of yard notes is not an associate solution. Graph community detection does not assign a closed text label.