Generative AI — Learn free

Self-check

Questions 1–10 of 10

1. At its core, what does Generative AI refer to?
Question 1A. The ability of AI systems to generate new, synthetic content across formats such as text, images, audio and videoB. A database that stores AI model weightsC. A statistical test for classifying spam emailD. A network protocol for sharing data between organisationsE. A tool that only converts paper documents into digital form
2. How far back does the idea of Generative AI date?
Question 2A. To 2022, with the release of ChatGPTB. To as early as 1950, when Alan Turing proposed machines that could exhibit intelligent behaviourC. To 2008, after the financial crisisD. To 1988, with the first Basel AccordE. To 2004, with the launch of social media
3. In statistical classification, what do generative models model?
Question 3A. The conditional probability onlyB. The cost of training hardwareC. The joint probability of inputs and outputsD. The number of layers in a networkE. The order of words in a sentence
4. Which of these is given as an example of a discriminative model?
Question 4A. Naive BayesB. Gaussian Mixture ModelC. Stable DiffusionD. Logistic RegressionE. DALL-E
5. As a rule of thumb, how do Synthetic Data and Generative AI differ?
Question 5A. Synthetic Data is always unstructured, Generative AI is always structuredB. Synthetic Data is a newer idea than Generative AIC. Synthetic Data requires GPUs, Generative AI does notD. There is no difference between themE. Synthetic Data produces structured datasets for model training, whereas Generative AI creates both structured and unstructured outputs
6. Which tools are named as generating human-like synthetic voices from text?
Question 6A. ElevenLabs and Play.htB. Stable Diffusion and DALL-EC. ChatGPT and GeminiD. LLaMA and ClaudeE. Naive Bayes and SVM
7. Which types of data can Generative AI handle?
Question 7A. Structured data onlyB. Structured, semi-structured and unstructured dataC. Unstructured images onlyD. Numeric tabular data onlyE. Audio data only
8. Which of the following is NOT named as a challenge behind Generative AI?
Question 8A. BiasB. Hallucination risksC. A shortage of paper records to digitiseD. Copyright issuesE. Governance frameworks
9. How should Generative AI models be used according to the key takeaway?
Question 9A. As the final authority for all business decisionsB. As replacements for human staffC. Only for generating imagesD. As decision-support tools, not decision-makers, never substituting for human judgementE. Only by sales teams
10. When do machine learning and deep learning models begin to exhibit behaviour described as Artificial Intelligence?
Question 10A. When they are first installed on a serverB. When they are trained on at least one datasetC. When they are sold by a vendorD. When they produce a single correct predictionE. When they mature to the point of operating autonomously, learning, adapting, rectifying errors and making decisions