Chatbots and LLMs explained simply quiz

Question 1

What does the abbreviation 'LLM' stand for?

Accepted Answer

Large Language Model

Answer

Long Learning Machine

Answer

Logical Language Method

Answer

Linked List Memory

Question 2

In simple terms, what is a chatbot?

Accepted Answer

A program that talks with people through text or voice

Answer

A robot that cleans your room

Answer

A type of computer virus

Answer

A game console

Question 3

How does an LLM mainly learn before it can answer questions?

Accepted Answer

By reading lots of text and practicing predicting words

Answer

By being given a brain like a human

Answer

By searching the internet live for every word

Answer

By copying answers from a single book

Question 4

What core task is an LLM doing when it writes a sentence?

Accepted Answer

Predicting the next word from previous words

Answer

Looking up the answer in a fixed list

Answer

Translating everything into numbers permanently

Answer

Counting how many letters you typed

Question 5

What is a 'token' in the context of LLMs?

Accepted Answer

A small chunk of text like a word or word-part

Answer

A password to use the chatbot

Answer

A picture stored in the model

Answer

A type of computer chip

Question 6

What does it mean when a chatbot 'hallucinates'?

Accepted Answer

It confidently gives false or made-up information

Answer

It sees imaginary pictures

Answer

It crashes and stops working

Answer

It repeats your question back exactly

Question 7

Why should you not always trust everything a chatbot tells you?

Accepted Answer

Because it can make mistakes or invent facts

Answer

Because it is always lying on purpose

Answer

Because it can read your mind

Answer

Because it never gives any correct answers

Question 8

What is a 'prompt' when using a chatbot?

Accepted Answer

The instruction or message you give the chatbot

Answer

The chatbot's secret password

Answer

The name of the AI company

Answer

An error message from the computer

Question 9

What is 'training data' for an LLM?

Accepted Answer

The text a model studies to learn language

Answer

The chatbot's daily exercise routine

Answer

A list of users who chat with it

Answer

The electricity used to run the model

Question 10

Why is having a wide variety of training data important?

Accepted Answer

It helps the model handle many topics and be fairer

Answer

It makes the model run faster

Answer

It reduces the size of the model

Answer

It removes the need for a computer

Question 11

What is 'bias' in an AI model, explained simply?

Accepted Answer

Unfair favoring or disadvantaging based on data patterns

Answer

A bug that makes the model slow

Answer

The model's favorite color

Answer

A way to make the model bigger

Question 12

Roughly what are 'parameters' in an LLM?

Accepted Answer

Adjustable internal numbers tuned during training

Answer

Rules typed in by users

Answer

The questions people ask

Answer

Pictures stored in memory

Question 13

Why do larger LLMs often (but not always) perform better?

Accepted Answer

More parameters and data can capture complex patterns

Answer

Bigger models never make mistakes

Answer

Larger models always use less electricity

Answer

Size has no effect at all

Question 14

What is the difference between a rule-based chatbot and an LLM-based chatbot?

Accepted Answer

Rule-based follows fixed rules; LLM-based generates flexible answers

Answer

They are exactly the same

Answer

Rule-based ones are always smarter

Answer

LLM ones cannot understand text

Question 15

What is a 'context window' in an LLM?

Accepted Answer

How much text the model can consider at once

Answer

A pop-up window on the screen

Answer

The model's internet speed

Answer

The number of users online

Question 16

Does a typical chatbot remember your conversation forever?

Accepted Answer

No, it usually remembers only the current context

Answer

Yes, it remembers everything permanently

Answer

It remembers only your name

Answer

It can only remember numbers

Question 17

What does 'fine-tuning' a language model mean?

Accepted Answer

Extra training to specialize an existing model

Answer

Deleting the model's memory

Answer

Making the model run faster only

Answer

Translating the model into another language

Question 18

Why is it usually a bad idea to share private personal information with a chatbot?

Accepted Answer

Your data could be stored or seen by others

Answer

Chatbots cannot read text

Answer

It makes the chatbot slower

Answer

It uses up your phone battery

Question 19

What is the 'G' in 'GPT' and what does it suggest about the model?

Accepted Answer

Generative, meaning it creates new text

Answer

Google, the company that made it

Answer

Gaming, its main purpose

Answer

Gigabyte, its memory size

Question 20

What kind of neural network design powers most modern LLMs?

Accepted Answer

The Transformer

Answer

The Calculator

Answer

The Spreadsheet

Answer

The Search Engine

Question 21

In simple words, what does 'attention' help a language model do?

Accepted Answer

Focus on the most relevant words when predicting

Answer

Pay the electricity bill

Answer

Count the total words typed

Answer

Choose the screen brightness

Question 22

What is one good way to write a prompt that gets a more helpful answer?

Accepted Answer

Be clear, specific, and give helpful details

Answer

Use as few words as possible always

Answer

Type in all capital letters

Answer

Never explain what you want

Question 23

Are chatbots conscious or do they truly understand like humans?

Accepted Answer

No, they predict patterns without real understanding

Answer

Yes, they think exactly like humans

Answer

Yes, they have feelings

Answer

No, they cannot produce any text

Question 24

Why might a chatbot give a different answer if you ask the same question twice?

Accepted Answer

It uses some randomness when choosing words

Answer

It forgets the question instantly

Answer

It is broken whenever this happens

Answer

It only answers once per day

Question 25

What does the 'temperature' setting do in many language models?

Accepted Answer

Controls how random or creative the output is

Answer

Measures how hot the computer gets

Answer

Sets the chatbot's typing speed

Answer

Changes the screen color

Question 26

What is a knowledge 'cutoff' for many LLMs?

Accepted Answer

The date after which it has not learned new info

Answer

The maximum number of users

Answer

A limit on message length

Answer

The time the chatbot shuts down

Question 27

Why might an LLM struggle with a tricky math problem even though computers are good at math?

Accepted Answer

It predicts language patterns rather than truly calculating

Answer

It hates numbers

Answer

It runs out of memory for any math

Answer

Math is impossible for all computers

Question 28

What is one important ethical reason not to use a chatbot to cheat on schoolwork?

Accepted Answer

You miss learning and it can be dishonest

Answer

It makes the chatbot tired

Answer

It is always illegal everywhere

Answer

It costs too much money

Question 29

How can an LLM help with learning if you should not use it to cheat?

Accepted Answer

By explaining ideas and helping you understand

Answer

By doing all your tests for you secretly

Answer

By deleting your homework

Answer

By blocking other websites

Question 30

What does 'natural language' mean in 'Natural Language Processing'?

Accepted Answer

Everyday human languages like English or Hindi

Answer

Only computer programming code

Answer

The language of animals

Answer

Math equations only

Test yourself