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 3)

Questions 11–15

1. 11application · medium

   A legal firm needs to condense hundreds of pages of case documents into short executive summaries for partners. The input is text, and the output must be concise, accurate prose. Which model family should the firm select?

   • ADiffusion model
   • BLarge language model (LLM)
   • CAutoencoder for image compression
   • DGenerative adversarial network (GAN)
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   In the context of diffusion models, what does the 'denoising' step refer to?

   • AAdding random noise to a clean image to create a noisy version.
   • BRemoving noise from a noisy image to recover a clearer version.
   • CEnhancing the contrast and brightness of an image.
   • DCompressing the image to reduce its file size.
   Reveal Solution Discussion Select an answer first
4. 13foundation · easy

   What is the primary training objective of a typical large language model (LLM)?

   • ATo translate text from one language to another.
   • BTo reconstruct the input text exactly as it appears in the training data.
   • CTo classify text into predefined categories such as spam or not spam.
   • DTo predict the next word in a sequence given the preceding words.
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   Which of the following is a major family of generative AI models specifically known for creating high-resolution images from text descriptions?

   • ALarge Language Models (LLMs)
   • BDiffusion models
   • CRecurrent Neural Networks (RNNs)
   • DDecision trees
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A photography studio wants to enhance low-resolution images by generating realistic high-resolution versions. They plan to use a model that starts with the low-res image and iteratively refines it to add detail. Which model family is most appropriate?

   • ATransformer for text classification
   • BRecurrent neural network (RNN)
   • CLarge language model (LLM)
   • DDiffusion model
   Reveal Solution Discussion Select an answer first