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Intro and Basics of Gen AI

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What are parameters in LLM?

a)

An NLP term for representing variables

b)

A process to represent the knowledge of the model

c)

Some conditions required for data

d)

Internal variables of the model that are learned through training process

2.

What is tokenization?

a)

A method in LLM

b)

Process of generating tokens

c)

Splitting the texts into smaller units

d)

Symbols, words or characters

3.

Which of the following is NOT a benefit of using a large language model (LLM) to build chat apps?

a)

LLMs can generate more realistic and informative conversation.

b)

LLMs can save time and money by automating the process of building chat apps.

c)

LLMs are more accurate than traditional chatbots.

d)

LLMs are easier to use than traditional chatbots.

4.

Temperature is measure of _______

a)

Creativity

b)

Randomness

c)

Complexity

d)

all of the above

5.

How many parameters does gpt-3 use in their models?

a)

180 billion

b)

172 billion

c)

175 billion

d)

200 billion

6.

What does BPE stand for?

a)

Big Passage Encoding

b)

Byte Passage Encryption

c)

Byte Pair Encryption

d)

Byte Pair Encoding

7.

How many tokens is gpt-3 limited to?

a)

4001 tokens

b)

4004 tokens

c)

3998 tokens

d)

4000 tokens

8.

co.classify returns ______

a)

dictionary

b)

json file

c)

txt file

d)

sets

9.

On what basis does BPE reverse the words?

a)

letters

b)

delimiter

c)

tokens

10.

max_tokens is a parameter in a model that determines the length of ____

a)

generated input

b)

generated output

c)

generated output + input