Ai5

Question 1

What does AI stand for?

Answer 1

Artificial Intelligence

Question 2

True or False: AI is only used for robots.

Answer 2

False

AI is used in many areas like email filtering, voice assistants, and fraud detection.

Question 3

What does ML stand for in AI?

Answer 3

Machine Learning

Question 4

What is the main difference between AI and ML?

Answer 4

ML is a subset of AI that focuses on learning from data.

Question 5

What does NLP stand for?

Answer 5

Natural Language Processing

Question 6

Fill in the blank: NLP helps computers understand ________.

Answer 6

human language

Question 7

What does API stand for?

Answer 7

Application Programming Interface

Question 8

Which best describes an API?

Answer 8

C) A way for software to talk to other software

Question 9

True or False: LLM stands for Long Language Machine.

Answer 9

False

LLM means Large Language Model.

Question 10

What does SDK stand for?

Answer 10

Software Development Kit

Question 11

Fill in the blank: An SDK gives developers the ________ they need to build software.

Answer 11

tools

Question 12

Which of the following is an example of NLP?

Answer 12

B) Autocorrect

Question 13

What does a vector database store?

Answer 13

Numbers that represent meaning, used for fast AI search.

Question 14

What is a common use of embeddings in AI?

Answer 14

To compare meaning between words, documents, or images.

Question 15

Match the acronym: ML →

Answer 15

ML → Machine Learning

Question 16

Match the acronym: API →

Answer 16

API → Application Programming Interface

Question 17

Match the acronym: SDK →

Answer 17

SDK → Software Development Kit

Question 18

Fill in the blank: A chatbot like ChatGPT is powered by a ______.

Answer 18

Large Language Model (LLM)

Question 19

What is the goal of a classification problem in AI?

Answer 19

To sort data into categories, like spam vs not spam.

Question 20

Regression problems are used when you want to predict a ________.

Answer 20

number

Question 21

True or False: An AI that predicts house prices is likely using regression.

Answer 21

True

Question 22

Which of these is NOT an acronym?

Answer 22

C) Neural Network

Question 23

What is the main role of training data?

Answer 23

To help the AI learn by showing examples.

Question 24

What does RAG stand for?

Answer 24

Retrieval-Augmented Generation

Question 25

Fill in the blank: RAG helps combine LLMs with your own ________.

Answer 25

data

Question 26

What is the purpose of prompt engineering?

Answer 26

To write better inputs that guide an AI to give useful answers.

Question 27

True or False: Prompt engineering only works with voice assistants.

Answer 27

False ## Footnote It works with text-based AIs too.

Question 28

What is supervised learning?

Answer 28

Learning from data that includes correct answers.

Question 29

What is unsupervised learning?

Answer 29

Learning from data without labels, finding patterns.

Question 30

Which of these is an example of classification?

Answer 30

B) Predicting if an email is spam

Question 31

What is overfitting in AI?

Answer 31

When a model learns training data too well and fails on new data.

Question 32

True or False: Overfitting means the model performs well on unseen data.

Answer 32

False

Question 33

Fill in the blank: A neural network is made up of many connected ________.

Answer 33

layers

Question 34

What does 'inference' mean in AI?

Answer 34

Using what the model learned to make predictions.

Question 35

Which of these is an example of inference?

Answer 35

B) The model making a prediction on new data

Question 36

What is an embedding?

Answer 36

A number-based representation of something like a word or image.

Question 37

Fill in the blank: Embeddings help AI understand ________ rather than just exact words.

Answer 37

meaning

Question 38

True or False: A vector database can help an AI find similar documents.

Answer 38

True

Question 39

What does it mean to label data?

Answer 39

To mark examples with the correct answers for training.

Question 40

Which of these is unsupervised learning?

Answer 40

B) Clustering customers by behaviour

Question 41

What’s the difference between training and inference?

Answer 41

Training is learning from data, inference is using what it learned.

Question 42

Fill in the blank: Classification sorts things into categories, while regression predicts a ________.

Answer 42

number

Question 43

What is a real-world example of classification?

Answer 43

A bank deciding if a loan application is low or high risk.

Question 44

What’s a real-world example of regression?

Answer 44

Estimating the price of a used car based on age and mileage.

Question 45

True or False: A model trained with supervised learning doesn’t need labelled data.

Answer 45

False

Question 46

Which one of these is used in prompt engineering?

Answer 46

C) Well-crafted questions

Question 47

What’s the main job of a neural network?

Answer 47

To process information and find patterns in data.

Question 48

Which one is different?

Answer 48

D) Training data

Question 49

True or False: An LLM like ChatGPT needs no training data.

Answer 49

False

Question 50

What is fine-tuning?

Answer 50

Adjusting an AI model using your own data to make it more accurate.

Question 51

What’s a real-world example of RAG?

Answer 51

Using ChatGPT to answer questions based on company documents.

Question 52

Why do AI models use so much data?

Answer 52

Because more data helps them learn patterns more accurately.

Question 53

What is a variable in Python?

Answer 53

A name used to store a value, like a label for information.

Question 54

Fill in the blank: In Python, name = 'Andrew' is storing the word 'Andrew' in a ________ called name.

Answer 54

variable

Question 55

What is a Python function?

Answer 55

A block of code that does something. You can use it again and again.

Question 56

True or False: Functions can take inputs and return outputs.

Answer 56

True

Question 57

What does a for loop do in Python?

Answer 57

It repeats an action for each item in a list or sequence.

Question 58

Which of these is a Python loop?

Answer 58

C) for

Question 59

What is a list in Python?

Answer 59

An ordered group of items, written in square brackets.

Question 60

What is a dictionary in Python?

Answer 60

A group of key-value pairs, like a contact list.

Question 61

True or False: Python is the most popular language for AI.

Answer 61

True

Question 62

What is a Jupyter notebook used for?

Answer 62

Writing, testing, and sharing code — often used for data science and AI.

Question 63

What is Hugging Face?

Answer 63

A website where you can find and use AI models.

Question 64

What is AutoML?

Answer 64

Tools that help people build machine learning models without much coding.

Question 65

Fill in the blank: The 'OpenAI API' lets you send ________ to an AI model and get answers.

Answer 65

prompts

Question 66

Which of these is a real Python data type?

Answer 66

C) list

Question 67

What is tokenisation in AI?

Answer 67

Breaking text into small pieces (tokens) so an AI can understand it.

Question 68

True or False: AI models charge based on the number of tokens used.

Answer 68

True

Question 69

What does 'context window' mean for an LLM?

Answer 69

The maximum amount of info it can remember at once.

Question 70

Which of these is true?

Answer 70

B) LLMs have a limit on how much context they can handle

Question 71

What does 'inference cost' mean?

Answer 71

How much it costs to run an AI model on new data.

Question 72

Final Q: What’s the main benefit of understanding these fundamentals?

Answer 72

So you can use AI more effectively in real life, even without being a programmer.