quiz bu lëkkale ak tegtal · Diggante Niveau

Quiz ci misaali deggoo

Xam naka la xeetu deggoo di jàngee defar benn jéego wala jéego yu néew ci trajectoire diffusion ak ay tënk ci ay pegg.

Yooni njiit yu jëm ciRoyuwaayi deggoo
Laaj 1 de 8

Ban jafe-jafe bu mag ci xeetu diffusion yi xeetu deggoo yi di saafara?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Ban jafe-jafe bu mag ci xeetu diffusion yi xeetu deggoo yi di saafara?
    • Diffusion échantillonnage dafa yeex ndax dafay laaj jéego yu bari yu ñuy baamtu
    • Diffusion mënul defar nataal yu am melo
    • Diffusion dafay jëfandikoo mémoire bu néew
    • Diffusion du dox ludul ci bind
  2. Lan mooy màndarga 'self-consistency' bi ñu tàggat xeetu nit ñi ngir ñu mëna satisfaire?
    • Nataal bu nekk dafa wara am benn melo
    • Bépp poñ ci kaw trajectoire bruit-à-done mingi méngoo ak benn poñ bu sell
    • Royuwaay bi dafa wara méngoo ak etiketu nit
    • Sorti bi dafa wara méngoo ak bruit biy dugg
  3. Ban sartu àppu la fonction consistance wara dëppoo ci waxtu nul?
    • Dafa wara génne bruit bu sell
    • Dafa wara génne nataal bu ñuul
    • Dafa wara nekk dàntite (delloo dugal gi te du soppiku)
    • Dafa wara génne li ci diggante done yi
  4. naka lañu mëna defaree ab xeetu deggoo ci ab xeetu diffusion bu fi nekk?
    • Soo efaase genn-wàll ay diisaayam ci anam wu mucc
    • Soo koy soppi def ko garabu dogal
    • Soo koy tàggat ci done yuñ bind kese
    • ci distilaasioŋ bu méngoo ak xeetu diffusion biñ njëkka tàggat
  5. Ban pexe mooy dakkal tàggat yaram ci joxe ay mébetu jàng?
    • Reseau biñ bëgga yeesal ni moyenne toxu exponentielle
    • efaase fonction perte ci anam wu mujjee
    • Yokk ñaari yoon limu jàng ci jéego bu nekk
    • Jëfandikoo benn nataalu tàggat
  6. How many sampling steps did the Latent Consistency Models paper report for high-quality 768×768 image generation?
    • Hundreds of steps in every setting
    • Two to four sampling steps
    • Exactly one training epoch
    • No sampling or model evaluation
  7. What are two training routes introduced for consistency models?
    • Only supervised image classification
    • Only adversarial training with a discriminator
    • Consistency distillation from a pretrained diffusion model and standalone consistency training
    • Token prediction and masked language modeling
  8. Which zero-shot image-editing tasks did the consistency-model paper demonstrate?
    • Speech diarization and speaker verification
    • Machine translation and summarization
    • Database query planning and code completion
    • Inpainting, colorization and super-resolution