Google Aworan Idanwo

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

1. Iru awoṣe ipilẹṣẹ wo ni Google Imagen ti a ṣe lori?
   • A awoṣe itankale
   • Nẹtiwọọki ọta ti ipilẹṣẹ (GAN)
   • Ayipada autoencoder nikan
   • A ofin-orisun renderer
2. Wiwa bọtini kan lati iwe atilẹba Imagen ni wiwọn iwọn paati wo ni awọn abajade ilọsiwaju julọ?
   • Nẹtiwọọki itankale aworan
   • Ayipada ọrọ tio tutunini (awoṣe ede)
   • Iwọn ipele ikẹkọ
   • Nọmba awọn ikanni awọ
3. Which improvement did Google announce for Imagen 4 in the Gemini app?
   • Fifipamọ awọn faili bi PNG
   • Ṣiṣẹda ohun
   • Improved text rendering in generated images
   • Awọn aworan funmorawon
4. Itumọ atilẹba ti Imagen lo kasikedi kan ti o bẹrẹ nipasẹ ṣiṣẹda aworan ni ipinnu wo?
   • 1024x1024
   • 512x512
   • 4096x4096
   • 64x64
5. What did Google DeepMind say SynthID does for images generated with Imagen on Vertex AI?
   • Embeds an imperceptible watermark in image pixels to help identify likely Imagen output
   • Converts all images to a new file format
   • Provides a GPU chip for image training
   • Translates the prompt language
6. Nipasẹ iru pẹpẹ Google wo ni awọn olupilẹṣẹ le wọle si Imagen fun awọn ohun elo tiwọn?
   • Google Awọn iwe
   • Fatesi AI
   • _AIU_PROTECTED_11__ Awọn maapu
   • Awọn irinṣẹ Chrome
7. What issue does dynamic thresholding address in Imagen's sampling process?
   • The model having too few text tokens in its prompt
   • The training set containing too many image resolutions
   • Pixel values becoming oversaturated when classifier-free guidance is high
   • The tokenizer splitting a word into subwords
8. What does classifier-free guidance do during Imagen sampling?
   • Selects a class label after the image is complete
   • Upscales the image without conditioning on its prompt
   • Replaces the noise-prediction model with a fixed image lookup
   • Combines conditional and unconditioned predictions to steer generation toward the prompt