Generative AI

Computer Science and Engineering > Artificial Intelligence

Uncover the potential of Generative AI through a comprehensive set of multiple-choice questions (MCQs). Explore how Generative AI technology revolutionizes content creation and creativity. Test your knowledge with engaging MCQs on Generative AI's principles, applications, and impact. ➲ Generative AI - Quiz


  • A Using domain-specific knowledge in prompts
  • B Crafting specific and unambiguous prompts
  • C Understanding the capabilities of the Al model
  • D Optimizing computational efficiency
  • A Large language models
  • B Large Library Models
  • C large machine learning models
  • D All are correct
  • A To enhance the interpretability of Al model outputs
  • B To ensure fair and unbiased decision-making by Al models
  • C To improve the overall performance and output quality of Al models
  • D To increase the computational complexity of Al systems
  • A Generating new molecules with desired properties
  • B Analyzing drug interactions in patients
  • C Automating drug manufacturing processes
  • D Predicting the effectiveness of existing drugs
  • A Sound prompts
  • B image prompts
  • C Text Prompts
  • D Videos inputs
  • A Bias in generated outputs
  • B Ownership of generated content
  • C Misuse of generative Al for fraudulent activities
  • D All of the above
  • A Reduced need for human creativity
  • B Elimination of errors in content production
  • C Increased productivity and efficiency
  • D Limited scope for human intervention
  • A Prioritizing model performance over ethical considerations
  • B Ensuring transparency and explainability of the Al models
  • C Ignoring potential biases in the generated outputs
  • D Providing generative Al models to unauthorized users
  • A Machine Learning
  • B Network design
  • C Java Development
  • D All are correct
  • A ChatGPT is a natural language processing tool driven by Al technology
  • B ChatGPT is not a natural language processing tool driven by Al technology
  • C ChatGPT is not an Al model. It just answers pre-configured questions.
  • D All are correct
  • A to teach machines how to play a game
  • B to generate new content such as text, picture, and video
  • C to detect fraudulent bank transactions
  • D to generate customized product suggestions
  • A No. As a business leader with no technical background, you can either make partnerships with generative AI research institutions, or you can use open-source models in your next business endeavor. And as a hobbyist, a maker, or a creative, you can make use of a generative AI services that are free or
  • B No. Generative AI is so advanced that the code is writing itself. You almost do not need to hire anyone, you can do everything, including programming to product development on your own.
  • C Yes, because it is hyper complex. Several generative AI models and papers comes out every day and in order to work in generative AI, you need to be able to write generative AI algorithms and you need to be able to train your own datasets.
  • D Queenstown
  • A a model is an example of how a generative AI application can be used
  • B a model is a tool for writing and running code
  • C a model is a set of algorithms that have been trained on a specific dataset
  • A The internet, because of the astonishing speed at which we are connected to information.
  • B Crypto, because it is a decentralised ecosystem that gives power to the people.
  • C Photography, because it is a true creative revolution.
  • D Computers, because of our how rapidly we can compute, design, and multitask.
  • A AI will make us make more money.
  • B AI will optimize productivity.
  • C We will focus on what makes us unique as a species: our consciousness and our vision.
  • D AI will optimise supply chain.
  • A The user writes text to generate content and the networks learns to improve itself each time it is being used.
  • B The generator and discriminator parts of the network work together in a competition to improve the generator's ability to create realistic data.
  • C The generator and discriminator parts of the network work together in harmony to challenge and trick the user in identifying which outcomes are "real" and which are "synthetic".
  • A Yes they do. How can they be in a dialogue with us unless they can "understand" what they are writing?
  • B Not right now, but in a couple of years they will be.
  • C No they do not. They synthetically mimic human language. "Understanding" is a function that is unique to consciousness-based biological organisms.
  • A They are large language models models. Chatbots, search engines, and customer service are the primary industry adopters.
  • B They are 3D asset generation companies. Their generated outcomes are used to design clothes, objects, CGI VFX, and are helping filmmakers quickly generate 3D environments.
  • C They are primary text-to-image generation services and models. Art, filmmaking, fashion, and marketing are the first industries to widely adopt their use.
  • D Denmark
  • A its capability to write hyper creative text for a variety of contents such as books, slogans, and scripts
  • B its capability to influence people to make decisions for them
  • C its ability to understand the meaning of the text it generates
  • D its large scale capability to generative human-like text
  • A start making decisions and replace humans in a variety of sectors including entertainment, media, energy, healthcare, and transportation
  • B increase security through Blockchain and distributed ledger technology
  • C optimize supply chains for corporations to save excess spending
  • D automate repetitive tasks and liberate humanity from dull, difficult, or robotic jobs
  • A TRUE
  • B FALSE
  • A Profit
  • B AI decision making
  • C Government incentives
  • D Human creativity and human decision-making
  • A Stop working with AI since it be of no benefit to us.
  • B Be angry with those that are working with AI. Take a stand and make sure we have no contribution in it.
  • C Seek to inform ourselves better to overcome these fears. The nature of a singular fear is often related to complex web of several different fears in our subconscious, we shall inquire to transcend these fears.
  • D Continue working with AI, since by working with it our fears will disappear on their own.
  • A A rich technical background, especially in machine learning and natural language processing, coupled with excellent leadership skills.
  • B Lobbying and diplomacy. Currently AI has a lot of unregulated parts so it is important to talk both sides of your mouth to not offend anyone involved in your team and other stakeholders.
  • C Transparency, fairness, empathy and responsibility. Approach the production and all operations with caution, always ask "who is benefiting" from our generative AI solution.
  • A To make sure we overcome misinformation we have been subject to in media around "AI is there to harm or replace us". It is our moral responsibility as early adopters of AI to provide guidance and education around AI and inform our employees and colleagues on how to overcome their fears, ch
  • B Because research shows that companies that have altruistic motivations and a purpose connect better with their customers.
  • C To make sure that the AI we are developing is in line with the technological advancements in the open-source AI field since the field is growing so quickly, we would not want to miss out.