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LLM Fundamentals QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Transformer was introduced by who?

Question: 2

Attention mechanisms help LLMs by:

Question: 3

Which is a common problem with extremely large models?

Question: 4

LLM context refers to:

Question: 5

Which of the following is essential for token generation?

Question: 6

LLMs capture context from:

Question: 7

LLM training often uses gradient descent because it:

Question: 8

LLM vocabulary typically uses:

Question: 9

The term “foundation model” means:

Question: 10

Which model is older than transformers?

Question: 11

LLMs often use which training technique?

Question: 12

Larger LLMs typically need:

Question: 13

Tokenization helps in:

Question: 14

LLMs get knowledge from:

Question: 15

A transformer's decoder is used for:

Question: 16

LLM evaluation includes:

Question: 17

An LLM output is based on:

Question: 18

Bigger context windows help LLMs with:

Question: 19

Which term describes LLM memory?

Question: 20

LLM requires which stage?

Question: 21

Which is NOT typical for an LLM?

Question: 22

In the phrase “they visited New York last week”, how many bigrams exist?

Question: 23

Tokens in LLMs represent what?

Question: 24

Self-attention is used in LLMs to:

Question: 25

A major challenge of LLMs is:

Question: 26

Which layer usually generates contextualized representations in a transformer?

Question: 27

N-grams are useful in:

Question: 28

Which model type learns variable sequences of text?

Question: 29

Transformer encoders are used for:

Question: 30

LLM training requires: