A municipal pump-track safety desk starts from a pretrained language foundation model rather than random weights, then adapts it to incident blurbs. Which idea is that?
Select an answer to reveal the explanation.
Short Explanation
Think of starting from a pretrained language model, then adapting it to incident blurbs. Transfer learning. Random weights are the opposite.
Full Explanation
Transfer learning reuses a related pretrained model as the starting point. Starting from random weights is the opposite. Hijacking and a vector store are different ideas.