Gen AI MCQ

TQ Generative AI: Test Your Knowledge!

 

 

Which technique is used to combine predictions from multiple models in MLOps?
Transfer learning
Continuous training
Model compression
Ensemble learning
Can AI help in preserving historical artifacts?
Yes, by digitizing and analyzing artifacts
No, it's only for the future
Only during historical reenactments
Only during holidays
What is the primary purpose of the "value" vector in transformer attention mechanisms?
To calculate attention scores
To represent the content at each position
To determine the order of tokens
To normalize the input
What is the main advantage of using XLNet over BERT in NLP?
It's always faster
It can learn bidirectional contexts using permutation language modeling
It requires less memory
It works only for English
Which US space agency has been applying AI in various missions and research?
NOAA
USGS
NASA
FAA
In the context of LLMs, what does "tokenization" refer to?
Encrypting the input text
Compressing the input text
Splitting the input text into smaller units
Translating the input text into another language
Which of these is NOT a common challenge in prompt engineering?
Ensuring consistent outputs
Managing token limits
Handling multi-turn conversations
Compiling the AI model
What is the main cause of mode collapse in GANs?
The generator is too simple
The discriminator is too complex
The GAN objective encourages the generator to fool the discriminator
The training data is not diverse enough
Can generative models be used to create personalized and adaptive AR/VR experiences?
Yes, by generating content based on user preferences and behavior
No, AR/VR experiences are pre-programmed and static
Only for certain types of AR/VR applications like gaming
Only if the user explicitly provides feedback and input
In prompt engineering, why is it important to specify the desired format?
To confuse the AI
To ensure the AI output matches the intended structure
To increase processing speed
To reduce model size
What contributes to trustworthy AI development?
Unpredictable outcomes
Adherence to ethical guidelines and standards
Maximized autonomy
Minimal human oversight
What is a 'latent space' in the context of generative AI?
A hidden physical space
A concept in quantum mechanics
A mathematical representation of data
A storage area for data
In computer vision, what is the main purpose of federated learning in US healthcare AI applications?
To reduce computational costs
To preserve patient privacy while training models
To enhance image resolution
To generate synthetic medical images
What is virtual try-on in the context of AI and fashion?
Using AI to identify clothing sizes
Using AI to recommend outfits
Using AI to let customers see clothes on their own body digitally
Using AI to design custom clothing
What is a common challenge in generating long-form coherent text with Generative AI?
training data availability
computational resource needs
maintaining consistency and logical flow
generating grammatically correct text
Which Python library is specifically designed for processing code and programming languages?
NLTK
spaCy
tree-sitter
TextBlob
Which US-based company is known for its development of the DALL-E image generation model?
Google
Microsoft
OpenAI
Nvidia
What is the main application of AI in the optometry industry?
To replace optometrists
For prescription accuracy and disease detection
To manufacture glasses
To perform eye surgery
What is the primary use of AI in energy grid management?
To create infinite energy
To optimize energy distribution and usage
To replace power plants
To make grids AI-controlled
What is transfer learning in the context of PyTorch?
Using a pre-trained model as a starting point for a new task
Transferring data between different storage devices
Moving models between CPU and GPU
Translating models from one framework to another
How should you complete the URI to build the REST endpoint for creating multilingual product descriptions in the Wide World product creation project?
api-nam.cognitive.microsofttranslator.com, /translate
translate.api.cognitive.microsoft.com, /v3.0/translate
api.microsofttranslator.com, /v2/translate
translator.azure.ai, /api/v1/translate
Which layer in a CNN is responsible for introducing non-linearity?
Convolutional layer
Pooling layer
Batch Normalization layer
Activation layer
What is the importance of interdisciplinary research in Responsible AI?
It's not important
To address complex ethical and societal implications comprehensively
To complicate AI research
To slow down AI progress
What is the role of 'pooling layers' in convolutional neural networks?
To create pools of data
To make data swim together
To reduce the spatial dimensions of the input
To pool resources for AI
What is the purpose of a Conditional GAN?
To generate images from labels or attributes
To generate images without any conditions
To classify images into categories
To detect objects in images
Score: 0/25