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 2)

Questions 6–10

1. 6application · medium

   A marketing team needs to automatically generate product descriptions from a catalog of raw feature lists (e.g., 'wireless, 20-hour battery, noise-canceling'). They want the output to read like human-written copy in complete sentences. Which model family should the solution use?

   • AA large language model (LLM) trained on text corpora
   • BA generative adversarial network (GAN) for text
   • CA diffusion model trained on product images
   • DA variational autoencoder (VAE) for text embedding
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   How do large language models (LLMs) learn to generate coherent and contextually relevant text?

   • ABy using a rule-based system of grammar and syntax defined by human linguists.
   • BBy learning statistical patterns and relationships between words from massive text corpora.
   • CBy training on labeled image datasets to classify objects and scenes.
   • DBy memorizing every possible sentence in the training data and retrieving them verbatim.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A company wants to build a system that can (1) generate realistic product images for an e-commerce site and (2) write marketing copy for those products. They want to use a single model family for both tasks. Which family is most appropriate?

   • ALarge language model (LLM)
   • BA multimodal model that handles both text and images
   • CDiffusion model
   • DGenerative adversarial network (GAN)
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   An organization wants to build a chatbot that can answer customer questions and draft email responses. Which generative AI model family is best suited for this task?

   • ALarge Language Model (LLM)
   • BSupport Vector Machine (SVM)
   • CDiffusion model
   • DVariational Autoencoder (VAE)
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   Which scenario is a typical application of a diffusion model?

   • ATranslating a document from English to Spanish.
   • BPredicting the next word in a sentence.
   • CAnswering a customer support question based on a knowledge base.
   • DGenerating a realistic portrait of a person who does not exist.
   Reveal Solution Discussion Select an answer first