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WorksheetsAIG202c
Total questions: 118
Worksheet time: 3615secs
Which of the following is NOT a common prompt engineering technique?
A. Adapting prompts based on user feedback
B. Using pre-trained language models without any prompts
C. Adjusting the temperature parameter during model generation
D. Designing prompts to elicit specific types of responses
Which of the following tasks would an Al be able to perform the LEAST successfully?
A. Suggesting what someone might want to buy from a shopping website
B. Using traffic data to work out what cars people are likely to buy
C. Writing a joke
D. Playing hangman
What type of learning involves Al systems learning from data without explicit programming?
A Supervised learning
B. Reinforcement learning
C Unsupervised learning
D. Deep learning
What is the primary goal of Artificial Intelligence (Al)?
A. To replace human intelligence entirely
B. To simulate human intelligence in machines
C. To limit the capabilities of machines
D. To create autonomous robots
Which of the following would be a GOOD question to ask, if you were testing to see if you were talking to a human or a computer?
A. What is the capital of Argentina?
B. What is your favorite food?
C. What is the square root of one million?
D. Who has scored the most goals in Premier League history?
Which scientific computing library provides data structures and data analysis tools for Python?
A. TensorFlow
B. Pandas
C. YumPies
D. Seahorse
How does Al work?
A. It just works you know
B. Combining large amounts of data with fast processing and intelligent algorithms, allowing the software to leam automatically from patterns or features in the data.
C. The computation, mostly on computers, of antiderivatives and definite integrals in term of formulas
D. Another super duper long answer to fool you guys to prove that not all longest answers are the correct ones, how is my quiz going anyway, i hope it is good, hope it is not too long though, thank you for not clicking
Which of the following is an attribute of Strong or Generalized Al
A. Operate with human-level consciousness
B. Cannot teach itself new strategies
C. Perform independent tasks
D. Can perform specific tasks, but cannot learn new ones
Which of these is NOT a current application of Al?
A. Self-Driving vehicles utilizing Computer Vision to navigate around objects
B. Classifying rock samples to identify best places to drill for oil
C. Collaborative Robots helping humans lift heavy containers
D. Making precise patient diagnosis and prescribing independent treatment
Which of the following is a scenario where an Al is being asked to make an ETHICAL decision?
A. A self-driving car can only avoid one of two pedestrians and must choose which
B. A voice assistant is asked to schedule an appointment on the users calendar
C. A voice assistant is asked whether the user will need an umbrella today
D. A chess computer must choose its next move
Which concern in Al focuses on avoiding biased decision-making in algorithms?
A. Al Transparency
B. Al Ethics
C. Al Accountability
D. Al Fairness
Which of these statements is true?
A. Cognitive systems can only translate small volumes of audio data into their literal text translations at massive speeds
B. Cognitive systems can derive mathematically precise answers following a rigid decision tree approach
C. Cognitive systems can only process neatly organized structured data
D. Cognitive systems can learn from their successes and failures
Al is the fusion of many fields of study. Which of these fields, along with Computer Science, plays a role in the application of Al?
A. All responses are correct
B. Mathematics
C. Philosophy
D. Statistics
What are two characteristics of artificial intelligence? (Choose two)
A. It is an agile, responsive network technology that scales easily and adapts to meet business requirements
B. It uses systems that mimic human cognitive functions such as learning and problem solving.
C. It translates intent into policies and then uses automation to deploy appropriate network configurations
D. Artificial intelligence uses statistical techniques to give computers the ability to learn from their environment.
E. It uses intelligent agents that interact with the environment and make decisions to reach a specific goals.
Which of the following is NOT an attribute of Machine Learning?
A. Takes data and answers as input and uses these inputs to create a set of rules that determine what the Machine Learning model will be
B. Takes data and rules as input and uses these inputs to develop an algorithm that will give us an answer
C. Machine Learning models can be continuously trained
D. Machine Learning defines behavioral rules by comparing large data sets to find common patterns
Many people question whether an Al can make ethical decisions. What do we mean by ETHICS?
A. The laws of particular country
B. The rules of behavior imposed by a programmer or the Al creator
C. Human emotions
D. A set of moral principles
Which of the following built-in technologies helps you build machine learning models with a simplified graphical interface?
A. Neural Network Modeler
B. Data Refinery
C. Watson Knowledge Catalog
D. Intelligent Asset Discovery tool
Bob wants to convert a painting into a photograph. Which generative Al capability will help him do this best?
A. Style transfer
B. Inpainting
C. Outpainting
D. Image fusion
A metaverse platform with generative Al capabilities will allow you to access_______ which is not possible with other generative Al tools.
A. Virtual avatars
B. Synthetic images
C. Augmented data sets
D. Clear and contextually relevant text
Ryan interns for a popular art gallery. He is looking for software to help him remove specific trees from a modernist landscape image. A friend suggested he use ___________capabilities in DALL-E
A. Inpainting
B. Text-to-image generation
C. Image-to-image translation
D. Style transfer
If you want precise control over style for manipulating specific features like a pose or facial expression, which tool here can help you do that best?
A. Stable Diffusion
B. DALL-E
C. Freepik
D. StyleGAN
Generative Al models can_______ the training data to create unique content.
A Differentiate between
B. Draw conclusions from
C. Leam from
D. Identify patterns and classify
What is one of the potential future impacts of Al in the job market?
A. Decrease in demand for skilled professionals
B. Increased job opportunities across all sectors
C. Shift in job roles, with some jobs becoming obsolete
D. Unchanged job market dynamics
Which of these are attributes of IBM's Cognitive APIs?
A. IBM Cognitive APIs are based on an input/output system, where your input is data that the API feeds into Watson, and the output is the delivery of the overall outcome based on that data.
B. IBM Cognitive APIs can process only structured data as input and unstructured data as output.
C. IBM Cognitive APIs serve as a messenger between the input data and the output files on your local machine. These output files can then be transferred to the cloud.
D. IBMs Cognitive APIs help Al professionals to build apps for mobile devices.
What type of generative Al capability does a large language model primarily exhibit?
A. Image generation
B. Audio generation
C. Text generation
Which of the following is a benefit of having an integrated Al system in a call center environment?
A. Reducing costs
B. Eliminating the need for human agents
C. Decreasing agent satisfaction due to fear of job loss
D. Increasing agent turnover
How does generative Al empower the human resource function?
A. Auto-detecting risky behavior
B. Increasing the depth datasets
C. Structuring custom loans
D. Creating job requisitions
What is an example of Al's role in improving customer service and experiences?
A. Lengthening response times and delays
B. Providing personalized recommendations and support
C. Reducing customer engagement and interactions
D. Decreasing customer satisfaction levels
What is a significant way in which developers of Al systems can guard against introducing bias?
A. Using only examples from their own environment as training data
B. Using less varied Al systems and datasets.
C. Providing effective training data and performing regular tests and audits.
D. Using government approved algorithms.
How does Al contribute to environmental conservation and sustainability?
A. Accelerating climate change impacts
B Optimizing energy usage and waste reduction
C. Increasing pollution levels
D. Ignoring ecological issues
Ravi is debating which Generative Al tool he can use to improve and index his code. Can you guide him based on the tools listed here?
A. DALLE
B. GitHub Copilot
C. Bard
D. Synthesia
Which of the following is a potential challenge associated with prompt engineering for generative Al?
A. Limited control over the output of generative Al models
B. Difficulty in training generative Al models without prompts
C. Lack of available tools and resources for prompt engineering
D. Difficulty in generating prompts automatically using Al algorithms
Why is prompt engineering important in the development of generative Al models?
A. Prompt engineering ensures that generative Al models generate output that is relevant and coherent
B. Prompt engineering helps reduce the computational resources required for training generative Al models
C. Prompt engineering allows generative Al models to generate output without any human intervention
D. Prompt engineering is not important for generative Al models
What is the first step in writing a well-structured prompt through the process of prompt engineering? (choose two)
A. Refining the prompt based on testing and analysis
B. Defining the goal
C. Testing the prompt for response quality
D. Analyzing responses from the generative Al model
Why is clarity important when writing prompts for generative Al models? (choose two)
A. Clarity helps make the prompt less engaging
B. Clarity helps the model understand the task and produce relevant responses
C. Clarity adds to the complexity of the prompt
D. Clarity ensures the prompt is lengthy
Which of the following is NOT a potential challenge associated with prompt engineering?
A. Limited control over the output of Al models
B. Difficulty in generating prompts automatically using Al algorithms
C. Lack of available tools and resources for prompt engineering
D. Difficulty in training models using only prompts that produce desired responses
Which of the following is the main purpose of using the user feedback loop?
A. To iteratively refine text prompts based on the response generated by the LLM
B. To generate responses with examples
C. To provide explicit instructions to generate neutral responses
D. To generate meaningful responses without needing prior training on specific prompts
Imagine you are planning a business trip, and you want to use the interview pattern approach to prompt an Al model to assist you in planning your itinerary. What would be the benefit of this approach in comparison to a traditional static prompt?
A. The model will provide a single predetermined itinerary
B. The model will ask for your preferences and adjust the itinerary accordingly
C. The model will minimize the need for any user interaction
D. The model will generate a random travel plan.
Imagine you are using the Chain-of-Thought approach to teach a generative Al model how to solve a mathematical problem. What is the key component of a prompt in this approach?
A. A prompt includes only a question without an answer.
B. A prompt includes a list of formulae to solve the question.
C. A prompt consists of a question and a correct answer for context.
D. A prompt includes a series of related questions without the correct answer.
How can adjusting the temperature parameter affect the output of generative Al models?
A. Increasing the temperature parameter leads to more conservative and safe responses
B. Decreasing the temperature parameter leads to more diverse and creative responses
C. Adjusting the temperature parameter has no effect on the output of generative Al models
D. Adjusting the temperature parameter increases the computational resources required for model generation
Which of the following is NOT a common technique used in prompt engineering for generative Al?
A. Designing prompts to elicit specific types of responses from the model
B. Adjusting the temperature parameter during model generation
C. Randomly selecting prompts from a predefined list
D. Fine-tuning prompts based on feedback from model outputs
What is the primary goal of prompt engineering tools?
A. To optimize the creation of prompts for generative Al models.
B. To create applications for language model experiments.
C. To design user-friendly interface for generative Al models.
D. To provide suggestions for improving NLP techniques.
How does the Tree-of-Thoughts approach differ from traditional linear prompting approaches?
A. It encourages linear thinking
B. It eliminates all possible routes of thinking
C. It makes random decisions
D. It explores multiple possibilities simultaneously using a hierarchical structure
Which among the following is a platform of integrated tools that can be used to train, tune, deploy, and manage foundation models?
How can prompt engineering help improve the performance of Al models?
A. By generating random prompts for training data
B. By ensuring that prompts are designed to elicit relevant and coherent responses
C. By ignoring prompts and allowing the model to generate output autonomously
D. By training models using only prompts that produce desired responses
What role does 'dialog' play in Al-powered chatbots?
A. Analyzing website traffic
B. Generating conversational responses based on user inputs
C. Optimizing database management
D. Improving encryption algorithms
How do digressions affect the flow of a conversation between a user and a chatbot?
A. Digressions help maintain focus on the original topic of the conversation
B. Digressions create confusion and frustration for users by shifting the conversation away from their intended query
C. Digressions encourage users to provide more information about their preferences and interests
D. Digressions have no impact on the flow of the conversation
How can chatbots use context variables to manage digressions in conversations?
A. By ignoring the user's input and continuing with a predefined script
B. By storing information about the original topic and using it to guide the conversation back on track
C. By terminating the conversation abruptly
D. By generating random responses to user queries
How do 'digressions' aid in improving chatbot interactions?
A. By maintaining a robotic conversational tone
B. By avoiding deviations from the main conversation topic
C. By introducing engaging and varied conversational paths
D. By restricting user inputs
What are "context variables" in the context of artificial intelligence and chatbots?
A. Variables used to store the state or context of a conversation or interaction
B. Variables that represent the emotions of the chatbot during a conversation
C. Variables that store the user's personal information
D. Variables used to determine the intent of the user's input
In our flower shop chatbot, "dad" is defined as a synonym for @relationship.father. If the user enters "which flowers for dad", what's the entity value detected by Watson?
What is the primary goal of 'digressions' in chatbot interactions, particularly concerning user experience?
A. To streamline conversations by avoiding diversions
B. To enforce strict conversational rules
C. To introduce spontaneous and engaging conversation elements
D. To restrict conversational freedom for users
Why is 'deployment crucial in chatbot development?
A. Ensuring optimal user experiences
B. Managing software licenses
C. Hardware optimization
D. Designing backend algorithms
What are "entities" in the context of artificial intelligence and chatbots?
A. The personalities assigned to chatbots
B. The actions taken by chatbots to achieve user goals
C. Specific pieces of information within user input that the chatbot needs to extract
D. The language used by chatbots to communicate with users
Which aspect of chatbot development is emphasized in the 'Context Variables & Slots' module?
A. Hardware maintenance
B. Managing and tracking information during conversations
C. Cryptocurrency analysis
D. Mobile application development
What does 'deployment refer to in the context of chatbot development?
A. Designing user interfaces
B. The process of launching and implementing a chatbot
C. Hardware configurations
D. Data encryption protocols
Which technology is commonly used to enable chatbots to understand and respond to natural language input?
A. Machine Learning
B. Virtual Reality
C. Augmented Reality
D. Blockchain
What is a "digression" in the context of artificial intelligence and chatbots?
A. A redirection of the conversation to a different topic unrelated to the original query
B. A response generated by the chatbot to acknowledge the user's input
C. A technique used to analyze the sentiment of user messages
D. A strategy employed by chatbots to end conversations abruptly
How do chatbots use context variables and slots to maintain context during a conversation?
A. By ignoring the user's input
B. By storing information about the user's preferences and previous interactions
C. By generating random responses
D. By terminating the conversation after a set number of interactions
How are intents used in natural language understanding for chatbots?
A. To detect the emotion of the user
B. To identify the language being spoken
C. To classify the purpose or goal of the user's input
D. To generate random responses
Which of these activities is not required in order for a neural network to synthesize human voice?
A. Generate audio data and run it through the network to see if it validates it as belonging to the subject
B. Deconstruct sentences to decipher the context of use
C. Ingest numerous samples of a person's voice until it can tell whether a new voice sample belongs to the same person
D. Continue to correct the sample and run it through the classifier, repetitively, till an accurate voice sample is created
What do Abu Dhabi National Oil Company (ADNOC) hope that the use of Al will help them achieve?
A. To understand their business better and retain knowledge.
B. To eliminate knowledge transfer.
C. To differentiate their business into educating people about geology.
D. A production target of 17 million barrels per day.
Which of the following is a concern regarding Al Transparency?
A. The inability to understand Al algorithms
B. The clarity in Al decision-making processes
C. Al systems' inability to learn from data
D. The ethical use of Al in robotics
What is the primary goal of incorporating 'digressions' in chatbot conversations?
A. To strictly follow pre-defined conversation paths
B. To limit user interaction choices
C. To provide diverse and engaging conversation experiences
D. To avoid conversing with users
Which aspect of chatbot development focuses on implementing 'digressions'?
A. Hardware optimizations
B. Conversation flow and engagement
C. Data encryption protocols
D. Graphics design in chat interfaces
What is the primary viewpoint on ethical concerns with Al systems based on the text?
A. Something that can't be mitigated for.
B. Not genuinely troubling, and the concern of very few Al experts.
C. Something that should be the concern of every Al developer, so they can be mitigated for as Al systems are developed.
D. Short term and easily addressed when developing new Al systems.
How do chatbots use dialog management to guide conversations with users?
A. By ignoring user input
B. By following a predefined sequence of interactions based on the user's responses
C. By generating random responses
D. By terminating the conversation after a set number of interactions
How are 'slots' used in the context of chatbot interactions?
A. To identify network vulnerabilities
B. To manage and capture specific pieces of information from users
C. To optimize website speed
D. To conduct financial transactions
Which of the following NOT a way Al is being used to benefit humanity?
A. In healthcare, Al is being used to interpret scans for early detection of cancer, eye disease, and other problems.
B. Crime: to identify criminals before they commit a crime.
C. In healthcare, Al is being used to predict where the next outbreak of a disease will occur.
D. In agriculture, Al is being used to identify and recommend treatment for plant diseases.
Which aspect of chatbot development does the 'Dialog' module emphasize?
A. Software development methodologies
B. Managing conversational flow and responses
C. Augmented reality technologies
D. Network security protocols
Which of the following is NOT an example of an entity for a travel chatbot?
A Destination
B. Departure time
C. GreetUser
D. Number of passengers
What is the primary purpose of a chatbot in the field of artificial intelligence?
A. To navigate websites
B. To automate repetitive tasks
C. To process images
D. To perform complex calculations
Monica is a writer looking to improve her storytelling by using a large language model (LLM) for creative writing prompts. Which feature of a prompt engineering tool would be most beneficial for her to achieve this goal?
A. Iteratively refining prompts by adjusting them based on the initial outputs of the LLM's story
B. Providing feedback for prompts based on a given input.
C. Suggesting different prompt formats (like questions, dialogues, or scenarios) tailored to the preferred storytelling style (such as mystery, romance, or sci-fi)
D. Offering a library of pre-defined story beginnings designed for particular genres and themes
Tiana is designing a game and decides to create one avatar with specific personality traits. What type of generative Al capability is Tiana using?
A. Ability to create virtual worlds
B. Ability to augment data
C. Ability to generate dynamic films
D. Ability to synthesize images
Which one of these jobs COULD NOT be taken by a robot with Al?
A. Bank clerk
B. Doctor
C. Telephone sales person
D. Shop worker
What is the primary definition of a chatbot among the following options?
A. A computer program to mimic human conversation.
B. A robot that can interact with people.
C. A program to chat with friends
D. A game we play online.
Which field of Al involves interpreting visual information from images or videos?
A. Natural Language Processing (NLP)
B. Robotics
C. Computer Vision
D. Machine Learning
A prompt is any input or________that helps generative Al models produce relevant and logical responses.
A. Series of instructions
B. Trigger
C. Signal
D. Stimulus
Which one of these ways is NOT how Al learns?
A. Supervised Learning
B. Reinforcement Learning
C. Proactive Learning
D. Unsupervised Learning
What does Ethical Al Governance focus on in the development and deployment of Al systems?
A. Establishing strict regulations to limit Al capabilities
B. Ensuring ethical guidelines and standards in Al use
C. The unrestricted development of Al technologies
D. Eliminating the need for ethical considerations in Al development
What is "prompt engineering" in the context of generative Al?
A. The process of creating prompts or instructions to guide the output of generative Al models
B. The process of training generative Al models using large datasets
C. The process of evaluating the performance of generative Al models
D. The process of generating prompts automatically using Al algorithms
How does the streamline mode in PromptPerfect contribute to prompt optimization?
A. By selecting a relevant model for prompt optimization
B. By accessing prebuilt prompts as examples
C. By refining prompts step-by-step until satisfied with the output
D. By experimenting with the autocomplete feature
In what way do 'digressions' impact the overall chatbot experience?
A. They hinder the conversation flow
B. They provide a natural and varied conversational experience
C. They limit the chatbot's vocabulary
D. They delay response times
What is the purpose of evaluating prompt effectiveness in prompt engineering for generative Al?
A. To determine the computational resources required for generating model outputs
B. To assess the relevance and coherence of model outputs generated from different prompts
C. To randomly select prompts for generating model outputs
D. To fine-tune prompts based on feedback from model outputs
Why haven't scientists been completely successful when developing Al?
A. They do not have the time or money
B. The human brain is very simple
C. They are trying to replicate the human heart
D. The human brain is very complex
How can prompt engineering be used to control the creativity of generative Al models?
A. By limiting the vocabulary used in prompts
B. By adjusting the temperature parameter during model generation
C. By ignoring prompts that may lead to overly creative or inappropriate responses
D. By randomly selecting prompts from a predefined list
What role does human input play in prompt engineering?
A. Human input is not necessary for prompt engineering
B. Human input is essential for designing effective prompts and evaluating model outputs
C. Human input is only required during the training phase of Al models
D. Human input is necessary for adjusting hyperparameters during model generation
How do well-implemented 'digressions' contribute to user satisfaction within chatbot interactions?
A. By creating predictable conversation patterns
B. By restricting the variety of conversation paths
C. By offering engaging and unexpected conversational turns
D. By limiting conversational flexibility
Which of the following do you need to create in order to publish a notebook to your GitHub repository?
A. Apps
B. Profile
C. Access token
D. Login credential
What are 'context variables' in chatbot conversations?
A. User authentication methods
B. Temporary data storage during conversations
C. Graphic design elements
D. Server configurations
What mindset did Woodside notice amongst its workers after introducing an Al system?
A. Retiring workers resented their years of knowledge being reduced to a computer system.
B. Younger workers resisted contributing to the Al knowledge base.
C. Younger workers found the new technology difficult to incorporate into their day-to-day tasks.
D. Retiring workers are proud to leave their knowledge as a legacy for the future.
Which concept does the introduction module primarily cover in chatbot development without programming?
A. Complex algorithms in cryptography
B. Front-end web development techniques
C. Basic principles and concepts of chatbots
D. Robotics in Al applications
A Machine Learning technique that helps in detecting the outliers in data.
A. Clustering
B. Classification
C. Anamoly Detection
D. All of them
How do 'digressions' contribute to chatbot functionality?
A. By ignoring user inputs
B. By maintaining rigid conversation structures
C. By allowing flexibility in conversation flows
D. By limiting user interactions
How is Watson currently aiding in solving business problems based on the provided scenarios?
A. Gathering expertise learned from thousands of employees to reduce time spent on tracking down expert knowledge.
B. Using data from sensors to detect moisture levels in the air, helping irrigation systems give water where it's needed most.
C. Identifying the best routes based on traffic, temperature, and road conditions to transport bees for pollination.
D. Analyzing financial data to predict market trends and stock performance accurately.
Which of the following is NOT a common strategy for managing digressions in chatbots?
A. Redirecting the conversation back to the original topic
B. Ignoring the user's input and continuing with a predefined script
C. Acknowledging the digression and exploring the new topic briefly
D. Terminating the conversation abruptly
Which of the following is an attribute of Supervised Learning?
A. Relies on providing the machine learning algorithm unlabeled data and letting the machine infer qualities
B. Tries its best to maximize its rewards by trying different combinations of allowed actions within the provided constraints
C. Relies on providing the machine learning algorithm human-labeled data the more samples you provide, the more precise the algorithm becomes in classifying new data
D. Relies on providing the machine learning algorithm with a set of rules and constraints and letting it learn how to achieve its goals
Which of the following are unstructured data sources?
A. Email
B. Blog posts
C. Relational Databases
D. Social media
How can 'digressions' within chatbot conversations be effectively balanced to ensure optimal user engagement?
A. By avoiding deviations entirely to maintain a focused conversation
B. By implementing random conversation paths for unpredictability
C. By strategically introducing deviations without overwhelming the user
D. By restricting conversational choices to pre-set options
How can prompt engineering be used to mitigate biases in Al models?
A. By generating prompts automatically using Al algorithms
B. By ensuring that prompts are designed to encourage diverse and inclusive responses
C. By ignoring prompts that may lead to biased outputs
D. By training models using biased datasets
Using a generative Al tool, Emily wants to create an image of a zebra-striped cat with a purple hat. Identify the best prompt for this task.
A. List cat breeds that look like zebras or have stripes.
B. Draw an image of a zebra-striped cat with a purple hat.
C. What's the difference between a zebra and a cat?
D. Find a zebra-striped cat that wears a purple hat.
What impact do well-implemented 'digressions' have on chatbot conversations?
A. Limiting conversational options for users
B. Enhancing natural conversation and user engagement
C. Increasing response times
D. Reducing chatbot functionality
Which of the following demonstrates an application of Artificial Intelligence in action based on the provided scenarios?
A. IBM Watson assisting oil and gas workers with technical information retrieval.
B. Analyzing emotions in Grammy nominated song lyrics using Al.
C. Detecting patterns in movement datasets to aid patients with neurological damage.
D. Using facial recognition algorithms for suspect identification by law enforcement authorities.
If one of a paired punctuation such as parentheses is missing:
A. The robot will assume that it is there and continue running
B. The program will not compile and the programmer will see an error message
C. The program will bypass that statement
D. The program will delete the paired punctuation that is not missing
How do chatbots use entities to understand user queries and provide relevant responses?
A. By matching the detected entities to predefined actions or responses
B. By ignoring the entities and focusing only on the intent of the user's input
C. By asking the user for clarification about the entities
D. By randomly selecting a response from a list
Which of the following are examples of bias in an Al system?
A. Facial recognition systems performing well for individuals of all skin tones.
B. Image recognition systems associating images of kitchens, shops, and laundry with women rather than men.
C. Customers not being aware that they are interacting with a chatbot on a company website.
D. Al systems in call centers providing context sensitive assistance to staff.
Advances in the field of Computer Vision make which of the following possible
A. Real-time transcription
B. Detecting cancerous moles in skin images
C. Detecting fraudulent transactions
D. On-demand online tutors
What does generative Al do differently than discriminative Al?
A. Mimics the human ability to predict data
B. Mimics the human ability to analyze data
C. Mimics the human ability to classify data
D. Mimics the human ability to create data
How does the interview pattern approach enhance the interaction with generative Al models?
A. By focusing on a conventional prompting approach
B. By hierarchically structuring a prompt or query
C. By promoting a back-and-forth exchange of information with the model.
D. By providing a single static prompt to the model.
Why are 'digressions' employed within chatbot conversations?
A. To confuse users intentionally
B. To enhance natural and engaging conversations
C. To slow down the conversation pace
D. To enforce strict conversation paths
Raechel wants to apply the process of prompt engineering to create an effective prompt for generating creative ideas for the marketing campaign of a new eco-friendly home cleaning product. Identify the best prompt for this task.
A. List the benefits of the new eco-friendly home cleaning product through campaigns organized by the company so that more and more people will be attracted to this product.
B. Generate ideas to sell a new product in the digital market through marketing campaigns and creative ideas.
C. Generate three creative and detailed ideas for a digital marketing campaign to promote a new eco-friendly home cleaning product. Consider the target audience, product strengths, marketing channels, and unique propositions for selling the product.
D. Give information about the price of an eco-friendly home cleaning product. This will help the customers compare the price of this product with other products available in the market and decide which one to buy.
Which of the following statements about datasets used in Machine Learning is NOT true?
A. Validation data subset is used to validate results and fine-tune the algorithm's parameters
B. Training data is used to fine-tune algorithm's parameters and evaluate how good the model is
C. Training subset is the data used to train the algorithm
Ethics in artificial intelligence is:
A. Something that is not an issue.
B. Something that is entirely solved in current Al systems.
C. Something that we need to apply today.
D. Something that somebody else is going to do in the future.
How are 'entities' utilized in Al-powered chatbots?
A. Understanding complex mathematical algorithms
B. Identifying and extracting specific information from user inputs
C. Enhancing visual design elements
D. Analyzing server performance metrics
Which of the following aspects involved in converting the stethoscope into a digital device to support patient diagnoses involves the use of Al?
A. An app on the mobile device that applies learnings from previous diagnosis data to assist the physicians in their current diagnoses
B. Sending digital signals to a mobile device with a machine learning app via bluetooth
C. Inserting a digitizer into the stethoscope tube to convert the analog sound of the heart beat into a digital signal
D. Graphing heart beat data on the mobile device allowing a physician to spot trends
What does Al Accountability entail in the context of ethical Al?
A. The responsibility of Al developers and users for Al actions
B. The secrecy of Al algorithms
C. The avoidance of Al in decision-making processes
D. The reliability of Al systems
Which of the following is not a stage in the Al Project Cycle?
A. Problem Scoping
B. Data Exploration
C. Data Acquisition
D. Prototyping
why is cranty important when wil prompts for generative Almodels?
A. Clarity helps make the prompt less engaging
B. Clarity helps the model understand the task and produce relevant responses
C. Clarity adds to the complexity of the prompt
D. Clarity ensures the prompt is lengthy
