The same foundation model that drafted an ice-rink closure notice yesterday drafts a snack-bar menu today after only a new prompt. Nobody built a new labeled dataset. Which advantage is this?
Select an answer to reveal the explanation.
Short Explanation
Think of yesterday's ice-rink notice and today's snack-bar menu from the same model, just a new prompt. That is adaptability. It is not a new classical model per task, and it is not the definition of nondeterminism.
Full Explanation
Adaptability is the advantage that the same foundation model can take a new task from a new prompt without a new labeled dataset. Training a fresh classical model per task is the contrast, not the advantage. Thousands of menu labels were not required. Using one model for two tasks is not the definition of nondeterminism.