Generative AI Fundamentals Quiz Answers

Artificial Intelligence Multiple Choice Questions: Test Your Knowledge!

 

 

What is the main purpose of AI impact assessments on workforce?
To replace human workers faster
To evaluate potential effects of AI on employment and plan for transitions
To increase AI productivity
To reduce workforce costs
What does CI/CD stand for in the context of MLOps?
Continuous Improvement/Continuous Development
Continuous Integration/Continuous Deployment
Centralized Infrastructure/Centralized Deployment
Customer Interaction/Customer Development
What is the key innovation of the Gopher model?
Novel architecture design
Use of multimodal inputs
Implementation of quantum gates
Massive scale and improved scaling laws
Which of the following is a common technique for handling scale variations in face recognition?
Feature Pyramid Networks
Multi-scale training
Scale-aware convolutions
All of the above
What is the main focus of "AI safety research"?
Researching AI's physical safety
Developing methods to ensure AI systems behave safely and as intended
Researching AI market safety
Researching AI investment safety
What is Amazon's cloud-based machine learning platform called?
Azure ML
Google AI Platform
SageMaker
Watson Studio
Which technique is used to handle imbalanced datasets?
Oversampling
Underfitting
Regularization
Dropout
What is a key aspect of responsible AI governance?
Avoiding all governance
Establishing clear policies and oversight mechanisms
Making governance more complex
Slowing down AI development
What is the main feature of the ERNIE-GEN model in text generation tasks?
Using reinforcement learning
Implementing an infilling generation mechanism
Employing adversarial training
Using memory networks
What does AI ethics primarily concern?
Making AI polite
Ensuring responsible and beneficial AI development
Teaching ethics to AI
Making AI more human-like
What is Stable Diffusion?
A chemical process
An open-source image generation AI
A type of data compression
A method for stabilizing AI
What is the primary function of DALL-E?
Text-to-Speech Synthesis
Image-to-Image Translation
Text-to-Image Generation
Speech-to-Text Recognition
Which architecture introduced the concept of "skip connections"?
VGG
AlexNet
ResNet
Inception
What is the primary use of AI in the hunting industry?
To replace hunters
For wildlife population management and safety
To control animal behavior
To manufacture weapons
What approach in certain transformer models involves using multiple specialized sub-networks?
Mixture of experts
Ensemble of transformers
Multi-model fusion
Hybrid architecture
What challenge does generative AI face in sentiment analysis?
Lack of sentiment to analyze
Too much sentiment to analyze
Inability to detect any sentiment
Accurately capturing nuanced expressions
Which technique is used to explain AI model predictions?
Obscuring the model completely
SHAP (SHapley Additive exPlanations)
Making predictions random
Ignoring model outputs
Which type of technology is described when a manufacturing center installs smart cameras along the assembly line to identify quality control issues and suggest improvements?
Natural language processing
Reinforcement learning
Computer vision
Generative adversarial networks
What is AI's role in customer service chatbots?
Providing automated responses and assistance
Only asking questions
Only telling jokes
Only during office hours
What is AI Fairness?
Equal AI Outcomes
Unbiased AI Decisions
AI Accessibility
AI Reliability
What is AI used for in smartphones?
Sending emails
Making calls
Taking photos
All of the above
What is digital core in generative AI?
The AI's central processor
The combined outputs of a company's AI solutions
The core programming of AI
The central database of AI
What is the main application of AI in the furniture industry?
To replace carpenters
For design optimization and demand forecasting
To cut down trees
To arrange furniture
What is the main benefit of using generative AI for data augmentation in computer vision applications?
Improving the accuracy of image classification models
Reducing the need for manual data labeling and annotation
Generating more visually appealing images than real-world data
All of the above
How does the Chinchilla model improve upon previous large language models?
By using a novel architecture
By implementing quantum algorithms
By employing federated learning techniques
By optimizing the parameters-to-compute ratio
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