Generative AI Fundamentals Quiz Answers

TQ Generative AI Assessment

 

What is the main application of AI in finance?
To print money
To analyze markets and automate trading
To replace banks
To predict lottery numbers
Which concept focuses on ensuring AI systems respect cultural differences and values?
Cultural uniformity
Cultural sensitivity
Cultural ignorance
Cultural dominance
How does the RoBERTa model improve upon BERT's pretraining process?
By optimizing hyperparameters and removing next sentence prediction
By implementing novel architectural changes
By using multitask learning
By incorporating external knowledge
What is the primary purpose of active learning in machine learning?
To make learning active
To select the most informative data for labeling
To increase learning speed
To create active AI agents
Which kind of AI is used for maintenance and quality checks in digital manufacturing?
Generative AI
Predictive AI
Diagnostic AI
Functional AI
What type of numerical computation is Jax optimized for in generative AI?
Low-precision
High-performance
Quantum computing
Distributed computing
What is a challenge in explaining the decisions of generative models?
Dealing with the high-dimensional and abstract nature of the latent space
Accounting for the stochasticity and variability in the generation process
Mapping the generated samples back to interpretable concepts or attributes
All of the above
What model is both generative and discriminative?
Decision trees
Random forests
Naive Bayes
GANs
How can ChatGPT be used in customer service?
To fully replace human customer service agents
To handle simple, routine queries and direct complex ones to humans
To automatically resolve all customer complaints
To upsell and cross-sell products to customers
Which is an example of iteration in prompt engineering?
Generating an image, then asking for modifications
Providing examples for translation
Entering a single prompt with specifications
Re-entering the same prompt multiple times
Which Python library is commonly used for creating custom tokenizers?
NLTK
spaCy
tokenizers
All of the above
Which Python library is commonly used for creating custom text clustering models?
NLTK
spaCy
Gensim
Scikit-learn
Which AI technology is best suited for improving quality control in digital manufacturing?
Natural Language Processing
Computer Vision
Generative Adversarial Networks
Reinforcement Learning
What is a significant challenge faced in Deep Learning due to the necessity for large datasets for training, especially in fields where such data is scarce or expensive to obtain?
Data Requirements
Computational Resources
Interpretability
Overfitting
What ethical consideration is vital in AI research?
Profit maximization
Respecting human rights and dignity
Increased AI complexity
Minimized human involvement
How can AI support education?
By replacing all teachers
By providing personalized learning experiences
By eliminating formal education
By standardizing all curricula
Which of the following is a common approach for handling occlusions in human pose estimation?
Part Affinity Fields
Hierarchical pose representation
Attention mechanisms
All of the above
Which of the following is NOT a valid loss function for regression in PyTorch?
ClassificationLoss
MSELoss
L1Loss
SmoothL1Loss
A key limitation of Generative AI is:
Lack of efficiency
Perfect accuracy
Potential for biased or inaccurate content
Inability to handle complex tasks
How does the Linformer model reduce the complexity of self-attention?
By using hierarchical structures
Implementing sparse attention
Projecting keys and values to a lower dimension
Using compression algorithms
What is the primary purpose of AI transparency?
To make AI invisible
To make AI processes open and understandable
To generate transparent reports
To classify transparency levels
When using the smart cropping feature of Computer Vision, what should be included in the API URL?
Resource name and region
API version and operation
Width and height parameters
All of the above
Can AI write stories and books?
Yes, with some human help
No, it's not creative
Only scary stories
Only in the morning
In prompt engineering, what are format, length, and audience examples of?
Iterations
Shots
Attributes
Roles
Which architecture introduced the concept of "depthwise separable convolutions"?
ResNet
VGG
MobileNet
Inception
Score: 0/25