Intro to AI quiz

1. What is Artificial Intelligence (AI)?

• A. A type of computer hardware that stores data

• B. A branch of computer science aimed at building machines that can perform tasks requiring human intelligence

• C. A method of writing code that never uses data

• D. A set of rules for improving battery life on computers

2. What is Data Science (DS)?

• A. A field focused on drawing pictures using computer software

• B. A field that uses scientific methods, processes, and algorithms to extract knowledge and insights from data

• C. A way to design only computer hardware components

• D. A programming language for building web pages

3. What is ChatGPT?

• A. A type of database used for storing large text files

• B. A search engine that only finds videos

• C. A conversational AI model that understands and generates human-like text

• D. A tool for creating 3D graphics

4. What is the main difference between Machine Learning (ML) and Deep Learning (DL)?

• A. ML is unrelated to AI, while DL is the only true AI method

• B. ML focuses on using algorithms that improve with experience, while DL uses multi-layered neural networks to learn from large amounts of data

• C. ML requires no data, while DL requires a tiny dataset

• D. ML is always hardware-based, while DL is always software-based

5. Which programming language is commonly used for AI development?

• A. HTML

• B. Python

• C. CSS

• D. SQL

6. What is a "model" in AI?

• A. A physical robot that looks like a person

• B. A mathematical or computational representation trained to make predictions or decisions

• C. A special type of hard drive used for storing data

• D. A static image that represents data visually

7. What does it mean to "train" an AI model?

• A. Telling the model stories without any data

• B. Feeding large amounts of data into an algorithm so it can learn patterns and improve performance

• C. Replacing the model’s code with new code every day

• D. Having the model memorize a dictionary

8. What is a "test set" in AI?

• A. A set of random numbers used to confuse the model

• B. A separate dataset used after training to evaluate how well the model performs on new, unseen data

• C. A tool for checking if your computer is turned on

• D. The exact same data used for training the model

9. Which of the following can be considered data resources for AI?

• A. Only text documents

• B. Only images

• C. Databases, text documents, images, audio files, and videos

• D. Only numbers in a spreadsheet

10. In the acronym "NLP" (a subfield of AI), what does the "N" stand for?

• A. Numeric

• B. Neural

• C. Natural

• D. Network