WorksheetsIntroduction to Generative AI Exam
Total questions: 49
Worksheet time: 20hrs 36mins
What is the purpose of using a few-shot learning approach in prompt engineering?
To increase the processing time of the AI model.
To train the AI model on a large dataset.
To limit the capabilities of the AI model.
To provide the AI model with a few examples of the desired output.
What is the term for the ability of an AI model to understand and respond to human language in a natural and contextually relevant way?
Natural language processing (NLP)
Machine learning
Computer vision
Deep learning
Which of the following is a common source of AI bias?
Biased or incomplete training data.
Advanced AI algorithms.
Diverse and representative training data.
High-quality training data.
What is the role of negative examples in prompt engineering?
To show the AI model what NOT to generate.
To provide additional context for the AI model.
To confuse the AI model.
To increase the processing time of the AI model.
What is AI bias?
The intentional or unintentional manipulation of AI models through training data.
The systematic and unfair treatment of certain groups by AI systems.
The tendency of AI models to make mistakes.
The inability of AI models to learn from data.
What is a technique to detect AI hallucinations?
Relying solely on the model's confidence scores.
Evaluating the model's output on diverse datasets.
Increasing the model's complexity.
Using more training data.
What is the term for the ability of an AI model to generate human-quality text, such as articles, poems, or scripts?
Sentiment analysis
Machine translation
Text summarization
Text generation
How can we promote ethical AI development?
Relying solely on technical solutions to address AI challenges.
Prioritizing profit over ethical considerations.
Encouraging collaboration between AI researchers and ethicists.
Ignoring the potential negative impacts of AI.
Which of the following is an example of a poorly constructed prompt?
Write a sonnet about love and loss.
Create a marketing slogan for a new energy drink.
Tell me something about the weather.
Generate a Python script to calculate factorial.
What is the term for a specific set of instructions or guidelines given to an AI model to generate a desired output?
Dataset
Prompt
Model
Algorithm
What is the role of human oversight in addressing AI bias and hallucinations?
Human oversight is unnecessary in modern AI systems.
Humans should be responsible for identifying and correcting biases and hallucinations.
Humans should be completely removed from the AI development process.
Humans should only be involved in the initial stages of AI development.
How can you improve the specificity of a prompt?
By avoiding the use of specific keywords.
By limiting the length of the prompt.
By providing more details and constraints.
By using vague language.
What is the purpose of using specific keywords in a prompt?
To limit the AI model's creativity.
To confuse the AI model.
To provide context and direction for the AI model.
To increase the processing time of the AI model.
Which of the following is a technique for improving prompt clarity?
Using vague language.
Using clear and concise language.
Avoiding the use of specific keywords.
Providing contradictory instructions.
What is the ultimate goal of addressing AI bias and hallucinations?
Creating AI systems that are completely unbiased and error-free.
Minimizing the role of humans in AI decision-making.
Developing AI systems that are more intelligent than humans.
Building AI systems that are fair, transparent, and beneficial to society.
What is the process of refining and optimizing prompts to achieve the best possible results from an AI model?
Model training
Hyperparameter tuning
Data cleaning
Prompt engineering
What are AI hallucinations?
The ethical concerns surrounding the use of AI
The process of training AI models on large datasets.
The ability of AI models to generate creative content.
The generation of false or misleading information by AI models.
Which of the following is NOT a potential solution to mitigate AI hallucinations?
Improving data quality and quantity.
Developing techniques to identify and correct hallucinations.
Increasing transparency and explainability of AI models.
Using more complex models.
What are some potential consequences of AI bias?
Unfair treatment of individuals and groups.
Increased accuracy and efficiency.
Improved decision-making.
Reduced reliance on human judgment.
What is a large dataset of text and code used to train AI models?
Corpus
Algorithm
Model
Prompt
How can AI bias be mitigated?
By increasing the computational power of AI systems.
By using more complex algorithms.
By carefully curating and cleaning training data.
By using larger datasets.
What is the benefit of using a hierarchical prompt structure?
It limits the creativity of the AI model.
It increases the processing time of the AI model.
It makes prompts more difficult to understand.
It helps break down complex tasks into smaller, more manageable steps.
Why is it important to test and iterate on prompts?
To identify and fix errors in the prompt.
To ensure that the AI model always generates the same output.
To limit the capabilities of the AI model.
To make the prompt more complex.
Which of the following is NOT a key principle of effective prompt engineering?
Ambiguity
Conciseness
Clarity
Specificity
What is the primary goal of prompt engineering?
To limit the capabilities of AI models.
To trick AI models into generating specific outputs.
To optimize prompts for maximum efficiency and effectiveness.
To create complex and convoluted prompts.
A face-to-face meeting between the employer and the applicant
lunch date
interview
resume
employment
Which of these do you NOT include on a resume?
education background
work experience
attitude
qualifications
Resumes should be at least three pages long.
True
False
What counts as experiences?
Paid or unpaid employment
Volunteering
Internships
All of the above
Which category does NOT belong on your resume?
Objective
Work experience
Awards
Games you like to play
What are hard skills?
Skills that are gained through formal training, education or on the job
Skills that you work hard to attain
Skills that are hard to obtain
skills that are hard
What are soft skills?
very light skills
skills you don't use often
a mix of social interpersonal skills and character traits that jobs require
reflect your personality
How can AI be used to detect plagiarism in academic writing?
By analyzing the font style used in the document
By checking the paper's publication date
By counting the number of words in the text
By analyzing text for similarities with existing sources, comparing sentence structures, word choices, and writing style, and training machine learning algorithms on a dataset of known plagiarized content.
Can AI completely eliminate plagiarism in academic settings?
No
Not sure
Yes
Maybe
How does AI compare to human experts in detecting plagiarism?
AI can be more efficient in detecting plagiarism by analyzing large datasets quickly, but human experts may have a better understanding of context and nuances.
AI has a better understanding of context and nuances than human experts
Human experts are faster at analyzing large datasets compared to AI
AI is less efficient than human experts in detecting plagiarism
What is the purpose of using a few-shot learning approach in prompt engineering?
To increase the processing time of the AI model.
To train the AI model on a large dataset.
To limit the capabilities of the AI model.
To provide the AI model with a few examples of the desired output.
How does artificial intelligence learn?
By sleeping
By analyzing data
By eating food
By playing games
Generative AI is like a ____.
Creative robot
Sleeping cat
Flying bird
Running dog
AI is a computer program that is able to do things that often require ____.
Human intelligence
Animal instincts
Plant growth
Machine parts
Which of the following best describes AI bias?
The inability of AI to function without human intervention
The tendency of AI to make decisions based on the data it was trained on
The use of AI to improve data security
The ability of AI to operate independently
What distinguishes ChatGPT from traditional chatbots?
ChatGPT uses pre-defined responses.
ChatGPT relies solely on rule-based algorithms.
ChatGPT can generate responses based on context and learned patterns.
ChatGPT has a limited vocabulary.
What is one limitation of ChatGPT's current version?
Inability to understand sarcasm
Limited vocabulary
Slow response time
Inaccuracy in predicting future events
Why is it important to use AI responsibly?
To make more money
To protect privacy and security
To watch more TV
To eat more ice cream
What is AI short for?
Airplane
Artificial Intelligence
Animal Instinct
Action Items
What is a 'hallucination' in the context of AI?
A dream about AI
A type of computer virus
An error where AI generates false information
A new AI program
