1.4 Understand Model Selection in AI Model Hubs and Repositories for Appropriate Use‑cases (e.g., Reasoning, Multimodality) AI-TECHNICAL-PRACTITIONER Practice Questions (Page 4)

Questions 16–18

1. 16foundation · easy

   Which use case would benefit most from a multimodal model?

   • ATranslating a document from one language to another
   • BPredicting stock prices from historical data
   • CGenerating a text description of an image
   • DDetecting spam in email messages
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   Which model type is most appropriate for a use case that requires the AI to understand both the content of an image and the text in a user's question about that image?

   • AA reasoning model focused on logical inference
   • BA text-only language model
   • CA multimodal model that processes both image and text inputs
   • DA single-task image classification model
   Reveal Solution Discussion Select an answer first
3. 18application · medium

   A data science team is choosing between two models on Hugging Face for a customer sentiment analysis task. Model X has a slightly higher accuracy score on the hub's benchmark leaderboard but uses a restrictive non-commercial license. Model Y has a slightly lower accuracy score but is released under an Apache 2.0 license. The team's application will be sold commercially. Which model should they select?

   • AModel X, because higher accuracy is always the most important selection criterion.
   • BModel X, because the team can request a special commercial license from the authors.
   • CModel Y, because the Apache 2.0 license permits commercial use, which is a hard requirement.
   • DModel Y, because open-source models are always more accurate than proprietary ones.
   Reveal Solution Discussion Select an answer first