1.1 Describe Major Generative AI Model Families (e.g., LLMs, Diffusion Models) and Common Use Cases (text Summarization, Content Creation, Code Generation) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A design agency wants to generate photorealistic images of new furniture pieces from text prompts, starting from random noise and refining the image over many steps. Which model family is best suited for this task?

   • ARecurrent neural network (RNN)
   • BDiffusion model
   • CLarge language model (LLM)
   • DTransformer-based text encoder only
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   A company needs a model to automatically convert a series of product images into a new, stylized version for a marketing campaign. Which model family is most appropriate?

   • ADecision tree classifier
   • BLinear regression model
   • CLarge Language Model (LLM)
   • DDiffusion model
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which statement correctly describes a defining characteristic of large language models (LLMs) compared to diffusion models?

   • ALLMs generate images by adding noise to a dataset, while diffusion models generate text by predicting the next word.
   • BBoth LLMs and diffusion models are primarily designed for audio generation tasks.
   • CLLMs process and generate sequential text data, while diffusion models generate data by gradually refining noise.
   • DLLMs require labeled image datasets for training, while diffusion models require unlabeled text corpora.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   Which of the following is a common use case for a large language model (LLM)?

   • AGenerating a photorealistic image of a landscape from a text prompt.
   • BUpscaling a low-resolution image to a higher resolution.
   • CRemoving background noise from an audio recording.
   • DSummarizing a long research paper into a concise paragraph.
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   What is the fundamental process by which a diffusion model generates a new image?

   • AIt combines multiple existing images by averaging their pixel values.
   • BIt uses a recurrent network to generate a sequence of image patches.
   • CIt starts with random noise and iteratively removes noise to reveal a clear image.
   • DIt starts with a blank canvas and paints pixels one by one based on a text description.
   Reveal Solution Discussion Select an answer first