Parti Pathways Autoregressive Imaging Quiz

Answers and explanations appear as you take the quiz.

1. How does Parti generate an image?
   • By denoising random noise over many steps
   • By predicting one image token at a time, like writing a sentence
   • By stitching together stock photos
   • By drawing vector paths
2. What overall framing does Parti use for the text-to-image task?
   • A clustering problem
   • A reinforcement learning game
   • A nearest-neighbor lookup
   • A sequence-to-sequence translation problem
3. What did the Parti researchers observe when comparing their model scales up to 20 billion parameters?
   • Consistent quality improvements in their reported evaluations
   • A proof that every larger image model always answers every prompt correctly
   • Identical outputs and quality at every model scale
   • An elimination of every counting and spelling error
4. What converts an image into discrete tokens for Parti?
   • A spreadsheet
   • A diffusion U-Net
   • A ViT-VQGAN tokenizer
   • A speech recognizer
5. What generation dependency creates sequential decoding work in Parti?
   • Every pixel must be manually drawn by the user
   • The text encoder can only read a grayscale image
   • The tokenizer requires an AIS position message
   • Each new image-token prediction depends on the previously generated token prefix
6. What is PartiPrompts?
   • A music dataset
   • A benchmark of over 1,600 challenging text prompts
   • A photo-editing app
   • A type of GPU
7. In Parti, what turns the generated visual-token sequence into image pixels?
   • The PartiPrompts category label alone
   • The user's text file extension
   • The image tokenizer's decoder
   • A fixed list of object names
8. Does original Parti's reported scaling improvement establish perfect counting or spelling on every prompt?
   • No; the paper also documents prompt-dependent failures and inconsistencies
   • Yes; the largest scale guarantees exact counts for every scene
   • Yes; a benchmark removes all spelling errors by definition
   • Only if the prompt has no text