Section checkpoint

Multimodal & Generative AI

6 questions drawn from the 2 chapters in this section. If most land on the first try, you are ready for the next section. If not, the explanation after each answer says which idea to revisit.

Checkpoint

6 questions · first-try answers earn the most XP

1. A vision model consistently misreads the small print on a receipt. What fix does the chapter recommend?

2. Why do vision model costs scale with the number of pixels sent?

3. Why does the chapter recommend asking narrow questions rather than "describe everything"?

4. What does a negative prompt change in a diffusion image generation request?

5. What specific problem does ControlNet solve in an image generation pipeline?

6. Why does more sampling steps eventually stop helping?

What this checkpoint covers

Vision Models & Image Understanding
CLIP, ViT intuition, captioning vs VQA.
Diffusion Basics for Beginners
Denoising idea, prompts, negative prompts, control.

Next section: Ship to Production