Google Maswali ya Picha

Majibu na maelezo huonekana unapojibu maswali.

1. Je, Google Imagen imejengwa juu ya aina gani ya modeli?
   • Mfano wa kueneza
   • Mtandao wa maadui unaozalisha (GAN)
   • Kisimbaji otomatiki tofauti pekee
   • Kionyeshi kinachozingatia sheria
2. Ugunduzi muhimu kutoka kwa karatasi asili ya Imagen ilikuwa kwamba kuongeza ni sehemu gani iliyoboreshwa zaidi?
   • Mtandao wa usambazaji wa picha
   • Kisimbaji cha maandishi kilichogandishwa (muundo wa lugha)
   • Ukubwa wa kundi la mafunzo
   • Idadi ya njia za rangi
3. Which improvement did Google announce for Imagen 4 in the Gemini app?
   • Inahifadhi faili kama PNG
   • Inazalisha sauti
   • Improved text rendering in generated images
   • Picha za kubana
4. Usanifu asili wa Imagen ulitumia mteremko ulioanza kwa kutoa picha kwa azimio gani?
   • 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. Je, ni mfumo gani wa Google ambao wasanidi wanaweza kufikia Imagen kwa programu zao wenyewe?
   • Google Laha
   • Vertex AI
   • Google Ramani
   • Chrome DevTools
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