Generative AI Advanced Quiz 1
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Advanced Quiz 1
1. Which architecture is the foundation of most modern large language models?
Transformer
Recurrent
Perceptron
2. What is "prompt injection" in the context of Generative AI security?
Forcing models to bypass safety guardrails
Speeding up the total prompt processing
Increasing the model parameter density
3. Which loss function is commonly used for training GAN architectures?
Binary Cross-Entropy
Mean Squared Error
Sparse Categorical
4. What is the main advantage of diffusion models for image generation?
Iterative refinement of Gaussian noise
One-step generation of final pixels
Lower compute cost than simple GANs
5. Which technique helps mitigate bias in generative model outputs?
Careful dataset curation and debiasing
Scaling the model to more parameters
Utilizing purely stochastic prompts
6. What does "autoregressive" generation mean in modern LLMs?
Predicting tokens one by one sequentially
Generating all sentence tokens at once
Using random sampling for every layer
7. Which evaluation metric is used for text similarity in outputs?
BLEU score
F1 accuracy
Root Mean
8. What is "in-context learning" within a large language model?
Learning from prompt examples without updates
Updating weights based on user interactions
Retraining the base model on local datasets
9. Which of these is a primary risk of model "hallucination"?
Stating false facts with high confidence
Running out of memory during inference
Repeating the same word many times
10. What is the role of a "discriminator" in a GAN?
Distinguishing real data from generated data
Creating new synthetic images from noise
Compressing input into a latent vector
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