An application needs to rank photographs against text descriptions without training a new classifier. Which approach is appropriate?

1. Compare raw image pixels directly with UTF-8 text bytes
2. Compare compatible image and text embeddings in a shared representation space
3. Treat a text tokenizer's token IDs as RGB values
4. Select the photograph with the largest file size