One vendor describes a huge unlabeled-text run that taught a model general language. Another describes a smaller labeled run that taught that same model the scout-handbook caption style. Which pairing names those stages?
Select an answer to reveal the explanation.
Short Explanation
Think of reading the whole library, then practicing the scout-handbook voice. The huge unlabeled run is pre-training. The smaller labeled style run is fine-tuning. Inferencing does not change those weights.
Full Explanation
Pre-training is a broad, usually unlabeled run that teaches general language. Fine-tuning is a smaller labeled adaptation to a task or domain style, here the handbook captions. Those names are not reversed. Inferencing scores a finished model and does not describe those training runs. Clustering file names is not either stage.