Identify the Foundational Concepts of Generative AI AB-731 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is a common challenge of generative AI where the model produces information that appears plausible but is actually incorrect or made up?

   • ATokenization
   • BLatency
   • CHallucination
   • DOverfitting
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2. 2foundation · easy

   How does generative AI provide business value in terms of scalability?

   • AIt requires more human workers as the volume of work increases.
   • BIt only works for small datasets and cannot handle large-scale tasks.
   • CIt eliminates the need for any computational resources.
   • DIt can generate large volumes of content quickly without a proportional increase in human effort.
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4. 3application · medium

   A retail company wants to automatically generate personalized product descriptions for thousands of items. They have a large catalog with existing descriptions and want the AI to learn the company's tone and style. The team has limited ML expertise and needs a solution that can be deployed quickly. Which approach should they choose?

   • AUse a traditional AI classification model to assign predefined templates to each product.
   • BBuild and train a custom generative model from scratch on the company's catalog data.
   • CFine-tune a pretrained model on the entire catalog without any prompt engineering.
   • DUse a pretrained generative AI model with prompt engineering and few-shot examples from the existing catalog.
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5. 4application · medium

   A software company wants to integrate a generative AI assistant into their IDE to help developers write code. They are concerned about the cost of token usage, as developers will use it frequently. What is the most cost-effective approach?

   • AUse a large pretrained model with a high token limit to handle complex coding tasks.
   • BUse a traditional autocomplete feature that does not use generative AI.
   • CUse a pretrained model with zero-shot prompting to avoid fine-tuning costs.
   • DUse a smaller, fine-tuned model on the company's codebase to provide relevant suggestions with lower token usage.
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6. 5foundation · easy

   In generative AI, what is a primary cost driver when using a cloud-based language model API?

   • AThe number of users who have access to the API, regardless of usage.
   • BToken usage, which is the number of text pieces processed and generated by the model.
   • CThe physical distance between the user and the data center.
   • DThe color depth of images generated, if any.
   Reveal Solution Discussion Select an answer first