A civic spyglass shop wants English lines to meet stills. One plan trains two encoders from nothing; another reuses contrastive language-image pretraining. Which start is the transfer-learning win?
Select an answer to reveal the explanation.
Short Explanation
CLIP already paid the heavy tuition pairing English with pictures. Starting there is like borrowing a tuned spyglass instead of grinding new lenses from sand.
Full Explanation
Official CLIP contrastive language-image weights are a transferable English–image foundation. Reusing them is transfer learning that avoids training both encoders from scratch. Serving inventions and tabular toolchains are out of scope for this efficiency choice.