Generative AI Fundamentals Quiz Answers

AI multiple choice questions: Test Your Knowledge!

 

 

What is the main purpose of fine-tuning in generative AI models?
To adapt pre-trained models to specific tasks or domains
To increase model size
To reduce training time
To eliminate the need for large datasets
Why is ethical consideration important in prompt engineering?
It's not important in prompt engineering
To ensure AI outputs are unbiased and respectful
To increase model size
To improve processing speed
Which term refers to applying structure and thought to interactions with generative AI?
Model training
Prompt engineering
Data preprocessing
Output analysis
What is the purpose of canary testing in MLOps?
To improve model accuracy
To gradually roll out new models to a subset of users for validation
To automate model training
To perform data augmentation
In TensorFlow, what is the purpose of the tf.distribute.Strategy.scope() context manager?
To define model architecture
To implement distributed training
To optimize memory usage
To handle exceptions in distributed setups
Which Python library is often used for implementing energy-based generative models?
NVIDIA Kaolin
Matplotlib
SciKit-Learn
StatsModels
What is the main advantage of using transformer models over recurrent neural networks?
Reduced training time
Parallel processing
Better long-term dependencies
Smaller model size
Which Python library is specifically designed for processing Sanskrit text?
NLTK
spaCy
Sanskrit Library
TextBlob
Which of the following is a common technique for handling rotation invariance in CNNs?
Data augmentation
Group convolutions
Spatial Transformer Networks
All of the above
What is a potential challenge in using generative AI for mental health support?
It can't generate empathetic responses
Ensuring ethical use and maintaining the human element in sensitive interactions
It can perfectly diagnose all mental health issues
It can physically administer medication
Which of the following is a key aspect of responsible AI development?
Maximizing AI capabilities without restrictions
Considering long-term societal impacts
Focusing solely on short-term gains
Ignoring regulatory requirements
What is the main purpose of using generative AI in weather forecasting?
To replace meteorologists entirely
To generate more detailed climate models
To control the weather
To optimize TV weather broadcasts
What is the primary purpose of token limits in generative AI models?
To improve model accuracy
To control computational resources
To increase model creativity
To reduce model size
What is the primary purpose of using diffusion models in generative AI?
Text generation
Image generation
Code generation
Audio generation
Can AI systems incorporate human oversight?
No, AI must be fully autonomous
Yes, through human-in-the-loop designs
Only in military applications
Yes, but it always reduces efficiency
What is a benefit of consumer LLMs like ChatGPT?
They are readily available and easy to access
They can be fully customized as needed
They fully eliminate the possibility of deep fakes
They use a very small amount of data in the model
In the field of sports analytics, generative AI can aid in:
Predicting game outcomes
Generating player statistics
Automating all coaching decisions
Replacing human referees
What is a key ethical consideration in using generative AI for business?
Maximizing profits at all costs
Ensuring transparency and accountability
Replacing all human workers
Ignoring potential biases
What does the term 'generative AI' refer to?
AI that generates power
AI that creates original content
AI that generates heat
AI that predicts the future
What is the main function of AI-powered email generators?
To replace human writers
To generate spam
To suggest email content
To encrypt emails
What is the main goal of using generative AI in scientific research?
To replace human scientists
To generate hypotheses and simulate experiments
To write grant proposals
To manage laboratory equipment
What is the competency ID for the Generative AI E0 refresher?
5618
6618
7618
8618
Which generative AI model is known for its ability to generate high-quality images from text descriptions?
BERT
GPT-3
DALL-E
Word2Vec
What is the main advantage of the GPT-J model?
Open-source availability and efficient training
Larger model size
Novel architecture
Multilingual capabilities
What is the primary use of AI in text-to-image generation?
To eliminate artists
To create images from textual descriptions
To make text obsolete
To replace cameras
Score: 0/25