Gen AI MCQ

TQ Generative AI: Test Your Knowledge!

 

 

What is the main purpose of layer normalization in transformer architectures?
To stabilize the learning process
To increase model depth
To reduce overfitting
To speed up convergence
What is the main goal of neural text recycling detection in NLP?
To identify reused text across documents
To generate recycled text
To translate recycled text between languages
To perform sentiment analysis on recycled text
What industry sector can benefit from Deep Learning in terms of autonomous vehicles?
Healthcare
Energy
Manufacturing
Transportation
What does Pix2Pix use as input and output?
Text as input, images as output
Audio as input, text as output
Images as input and output
Text as input and output
What is the main purpose of image-based 3D face reconstruction in computer vision?
To create 3D face models from 2D images
To enhance image resolution
To detect objects in images
To compress video files
How does ChatGPT contribute to improving customer service experiences?
By providing real-time support and assistance through chat interfaces
By generating random responses and confusing users
By avoiding interaction with customers
By redirecting users to human agents
What is the primary innovation of the Switch Transformer in large-scale language modeling?
Conditional computation using sparsely-activated experts
Increased model depth
Use of quantization techniques
Implementation of federated learning
Which of these is NOT a common application of generative AI in music composition?
Replacing human emotional expression in music
Creating new melodies and harmonies
Generating adaptive game soundtracks
Analyzing patterns in musical data
Which of the following is NOT a common approach in text simplification?
Lexical simplification
Syntactic simplification
Sentence splitting
Sentiment simplification
What is the primary advantage of using generative AI in content creation?
Eliminating human input
Speeding up production
Reducing content quality
Replacing human creativity
What is the primary goal of the US National Artificial Intelligence Research and Development Strategic Plan?
To restrict AI research
To provide a framework for Federal AI R&D investments
To regulate AI companies
To develop AI products for government use
What are the challenges in using Generative AI for art restoration?
Preserving cultural heritage
Reconstructing damaged artworks
Ensuring authenticity
All of the above
What is the main application of Amazon's AI in its core business?
Customer service
Inventory management
Recommendation systems
Drone delivery
What is 'Q-learning' in AI?
Learning about the letter Q
Quality learning assessment
Quantum learning techniques
A model-free reinforcement learning algorithm
What is the main goal of contrastive learning?
To create contrasts
To learn representations by comparing similar and dissimilar samples
To contrast AI with humans
To generate contrastive examples
Which technique is used to improve the performance of language models on tasks requiring external knowledge?
Knowledge-augmented pre-training
Increasing model size
Reducing vocabulary size
Simplifying model architecture
Can AI predict what you will buy?
Yes, based on past shopping
No, it's not psychic
Only groceries
Only on your birthday
What is "algorithmic accountability"?
Holding algorithms responsible for errors
Increasing algorithm speed
Reducing algorithm complexity
Improving algorithm accuracy
What is the purpose of the Trax library in NLP?
To provide pre-trained word embeddings
To offer a framework for advanced deep learning, especially for sequence models
To perform sentiment analysis
To generate text summaries
Which library provides tools for chaining language models in generative AI?
TensorFlow
PyTorch
LangChain
Diffusers
What is a key feature of Acme in generative AI?
Image generation
Text generation
Reinforcement learning
Data preprocessing
What is the purpose of data drift detection in MLOps?
To improve model accuracy
To identify changes in the statistical properties of input data
To automate model training
To perform feature selection
What is the role of the position embeddings in transformer-based LLMs?
To represent the position of each token in the input sequence
To represent the semantic meaning of each token
To represent the syntactic role of each token
To represent the language of each token
What is the purpose of the DALL-E model in generative AI?
To generate images from textual descriptions
To classify images using text
To detect objects in images using text
To segment images using text
What technology turns a static model into a dynamic tool that searches for relevant information?
Database management
Information retrieval systems
Large language models
Web crawlers
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