Generative AI Fundamentals Quiz Answers

TQ Generative AI Assessment

 

What is the purpose of the TextBrewer library in NLP?
To provide pre-trained word embeddings
To offer a toolkit for knowledge distillation in NLP
To perform sentiment analysis
To generate text summaries
What type of platform does Databricks offer?
Social media
Unified analytics
E-commerce
Gaming
Which technique is used to automatically generate unit tests for ML models in MLOps?
Model compression
Property-based testing
Ensemble learning
Data augmentation
What is the main advantage of deep learning over traditional machine learning?
It's always more accurate
It can find complex patterns in large datasets
It requires less computational power
It's easier to implement
What type of AI model is DALL-E?
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Transformer
Support Vector Machine (SVM)
What is a challenge in evaluating the quality of generated graphs?
Defining meaningful and computable graph similarity metrics
Accounting for the diversity and variability of real-world graphs
Assessing the semantic validity and coherence of generated graphs
All of the above
Why is it important to address AI bias?
To increase AI speed
To ensure fair and ethical outcomes
To reduce computational cost
To maximize data collection
Which tool is commonly used for orchestrating GPU-accelerated workflows in MLOps?
TensorFlow
PyTorch
RAPIDS
Scikit-learn
How can users provide feedback to improve ChatGPT?
By rating the helpfulness of each response
By submitting detailed bug reports and feature requests
By participating in regular user satisfaction surveys
There is no direct user feedback mechanism
Why doesn't the function output all words from the input string to the console?
It's designed to extract only key phrases
The function has a word limit
It only outputs words above a certain length
The function is filtering common words
What advancements has generative AI made in video game development?
Creating realistic game environments
Generating game rules
Playing games to find bugs
Designing game covers
What is model interpretability in AI?
The ability of AI to interpret human languages
The understandability of AI decision-making processes
The speed of AI model processing
The cost of AI model development
Which principle emphasizes the need to collect data from a variety of sources and demographics?
Bias Assessment
Fairness Measures
Data Diversity
Transparency
In what approach in Deep Learning does the model learn to understand and label data on its own, reducing the dependence on large labeled datasets?
Hybrid AI
Supervised learning
Self-supervised learning
Unsupervised learning
The next word prediction objective in language modeling is used to:
Predict the sentiment of the next word
Predict the topic of the next word
Predict the length of the next word
Predict the next word in the sequence
How does the Routing Transformer improve upon standard transformer models?
By increasing model depth
By implementing new activation functions
By using larger batch sizes
By using content-based sparse attention
What process enables an LLM to become an expert in a particular domain?
Fine-tuning
Pre-training
Data augmentation
Feature selection
What is the primary function of natural language processing (NLP)?
To create new languages
To improve typing speed
To encrypt communications
To enable AI to understand and generate human language
Transfer learning refers to:
Transferring data between computers
Transferring knowledge from general models to specialized models
Transferring models from one domain to another
Transferring learning from humans to machines
Which of these best describes the "attention" mechanism in transformers?
A way to focus on relevant parts of the input
A method to compress the input
A technique to generate new tokens
A process to normalize the input
What is the role of "ensembling" in generative AI?
Making AI perform in ensembles
Combining multiple models for better performance
Assembling AI parts
Creating ensembles of data
What is the main difference between DALL-E and GPT models?
DALL-E generates images, GPT generates text
GPT generates images, DALL-E generates text
DALL-E uses a transformer architecture, GPT uses a GAN architecture
GPT is a type of DALL-E model
Which AI ethical framework emphasizes human rights?
IEEE Global Initiative
AI Now Institute
Future of Life Institute
United Nations AI Principles
What is prompt engineering in the context of generative AI?
The practice of crafting effective input prompts to guide AI output
A method for optimizing model architecture
A technique for data preprocessing
A way to reduce model size
What does "AI robustness" refer to?
The physical strength of AI hardware
The ability of AI systems to perform consistently under various conditions
The financial stability of AI companies
The speed of AI computations
Score: 0/25