Exams / AIF-C01 / Generative AI concepts / Question 3
AIF-C01 practice question: Generative AI concepts (3 of 5)
Fundamentals of Generative AI A free question from our original AIF-C01 practice exam. Try it, then open the answer to see why each option is right or wrong.
A furniture retailer wants to create photo-realistic images of sofas in different room settings from short text descriptions. Which type of generative model is BEST known for this kind of text-to-image generation?
Choose one answer.
- AA. A regression model trained on past sofa prices
- BB. A clustering model that groups similar room photos
- CC. A diffusion model that refines random noise into an image
- DD. A speech recognition model that converts descriptions to text
Show the answer and explanation
Answer: C
- A. Wrong: Regression predicts a numeric value. It cannot generate an image.
- B. Wrong: Clustering finds groups in existing data. It does not create new images.
- C. Right: Correct. Diffusion models generate images by learning to reverse a noising process, guided by the text prompt.
- D. Wrong: Speech recognition turns audio into text. The retailer already has text and needs images.
Explanation
Diffusion models learn by adding noise to training images and then learning to reverse that process. At generation time they start from random noise and refine it step by step into an image that matches the prompt. They are widely used for text-to-image generation.
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