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WorksheetsAI Quiz
Total questions: 20
Worksheet time: 46mins
A bout is
sezon/atak
coś staromodnego
złośliwość/szkoda
przewrót na rynku
sugestia/dane wejściowe
ChatGPT coming up with a fake biography of an unexisting person is an example of AI
Synthetic Data
Hallucinating
Minority Erasing
A subset of AI that involves training mechanisms to learn from data without being explicitly programmed. It uses algorithms and statistical models to analyze data and make predictions or decisions.
Machine Learninng
Computer Vision
Edge Computing
A method of processing data at the edge of the network, closer to the devices and sensors that generate it. It enables faster and more efficient processing of data for AI applications.
Transfer Learning
Edge Computing
Neural Networks
Sonar Learning
A type of machine learning that uses neural networks to simulate the human brain's learning process. It allows machines to learn from large amounts of data and improve their accuracy over time.
Computer Vision
Explainable AI (XAI)
Deep Learning
A field of AI that focuses on enabling machines to interpret and analyze visual data from the world around them. It allows machines to perform tasks such as object recognition, facial recognition, and image classification.
Computer Vision
Edge Computing
Deep Learning
Neural Networks
A type of machine learning that involves training machines to learn from their own actions and the resulting feedback. It is commonly used in robotics and game development.
Explainable AI (XAI)
Reinforcement Learning
Deep Learning
A field of AI that aims to develop transparent and interpretable AI systems. It enables humans to understand how an AI system arrived at its decisions or recommendations.
Explainable AI (XAI)
Generative Adversarial Networks
Natural Language Processing (NLP)
A type of deep learning model that involves two neural networks working together to generate new data. It is commonly used in image and video synthesis.
Hyperautomation
Generative Adversarial Networks
Natural Language Processing (NLP)
A type of machine learning that involves fetching knowledge from one task to another. It allows machines to learn new tasks with less training data and time.
Transfer Learning
Autonomous Systems
Commitment Learning
Artificially generated data that can be used to train machine learning models. It is useful when real data is scarce, expensive, or difficult to obtain.
Factitious Data
Constructed Data
Synthetic Data
Hyperautomation means
A branch of computer science that deals with the creation of intelligent machines that can perform tasks that typically require human intelligence, such as reasoning, problem-solving, and decision-making.
The use of AI and other advanced technologies to automate as many business processes as possible. It enables organizations to increase efficiency and reduce costs.
Chat GPT, Alexa and similar programms use "narrow AI" which enebles them to deal with a single specific task. A much more complex/ versatile forms of AI such as Jarvis in IronMan are called:
general AI
generic AI
grounded AI
Read this piece of advice
(2 correct answers)
Very cool
OK
Meh
The author of this corporate Sillicon Valley mogul told his employees to live by this mantra which led the company to contribute to a genocide in Myanmar. Which business is it?
Tesla
Amazon
Meta
Microsoft
Apple
What is the AI black box issue?
What does the pull the plug idiom mean?
decommission
postpone
temporarily stop working on
Something malignant is
niepokojące
staromodne
złośliwe
wstrząsające
szkodliwe
What, according to the video, should we regulate about deploying AI solutions? (The EU is already considering it) Provide at least 4 points
A network of smart, interconnected devices that can communicate and exchange data with each other. It provides a vast source of data for AI applications.
(3 words or an abbreviation)
(a)
