Generative AI Advanced Quiz 2
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Advanced Quiz 2
1. Which method aligns LLMs with specific human values?
Reinforcement Learning from Human Feedback
Increasing the total training duration
Using only synthetic data for training
2. What is "multimodal" generation in modern AI?
Processing different data types simultaneously
Training on one single language only
Using multiple GPUs for one single task
3. Which technique helps prevent "mode collapse" in GANs?
Feature matching and minibatch discrimination
Using a single discriminator for the model
Reducing the size of the generator network
4. What is "zero-shot" transfer in Generative AI?
Performing a task without specific examples
Training a model with zero labeled data
Generating an image with zero pixel noise
5. What is a challenge in evaluating generative models?
Lack of objective truth for creative work
Too many labeled datasets in the industry
Models being too slow to produce results
6. What is the main function of a transformer "decoder"?
Generating sequences from hidden states
Sorting prompts into specific categories
Initial tokenization of the raw text
7. Which technique is used for "style transfer" in images?
Blending content and style representations
Randomly sampling pixels from two images
Sorting training images by primary color
8. What is the main benefit of "few-shot" learning?
Generalizing from limited prompt examples
Reducing the memory used by the server
Speeding up the model pre-training time
9. Which method generates adversarial examples for testing?
Fast Gradient Sign Method (FGSM)
Randomly cropping input images
Simple word tokenization
10. What is "knowledge distillation" in generative models?
Training a student model from a teacher
Increasing the depth of a neural network
Sorting the outputs by confidence score
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