Generative AI Intermediate Quiz 1
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Intermediate Quiz 1
1. What does “prompt engineering” mean in the context of Generative AI?
Designing effective input prompts so the AI produces better, more useful outputs
Building new custom AI hardware devices for running complex models
Finding and fixing low-level computer bugs in operating systems
2. Which type of model is most commonly used today for advanced text generation?
Transformer-based language models that use attention over token sequences
Traditional decision tree models that split data into fixed branches
K-Means clustering models that only group data into fixed clusters
3. In text generation, what does the “temperature” parameter mainly control?
The level of randomness and creativity in the model’s chosen next tokens
The physical speed and heat output of the computer’s processor hardware
The exact number of words that must appear in the initial text prompt
4. Which of these is a known limitation of Large Language Models (LLMs)?
They can generate confident, realistic text that is actually incorrect or misleading
They always have up-to-the-minute knowledge of current events worldwide
They never make grammar mistakes and are always perfectly accurate
5. What is meant by a “fine-tuned” Generative AI model in practice?
A pre-trained base model that is further trained on a smaller, task-specific dataset
A model that simply has more neurons added without any extra training
A model that has been overclocked so it runs much faster on all devices
6. What does “latent space” usually refer to in generative models?
A compressed internal representation of features that the model has learned
A special region of physical memory reserved for graphics processing
A specialized programming language used only for neural network training
7. Which option names a generative model widely used for creating images?
Stable Diffusion, which generates images from text or image prompts
Random Forest, which is mainly used for tabular classification tasks
Naive Bayes, which is mainly used for simple probabilistic classifiers
8. What is a GAN (Generative Adversarial Network) in simple terms?
A system where two networks compete so one learns to generate realistic new data
A model that only performs image classification without generating content
A simple spreadsheet tool used to organize and filter numeric information
9. Which of these is a common business use-case for Generative AI tools?
Automating content creation such as marketing copy, summaries, or drafts
Only counting items in inventory without producing any new content
Only sorting incoming emails into folders by their subject lines
10. What does “zero-shot” generation mean for a Generative AI model?
Generating outputs for tasks or prompts the model was not explicitly trained on
Generating images only when a camera is directly connected to the system
Making random guesses without using any learned patterns from data
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