Quiz for:
Understanding Large Language Models (LLMs)

Question 1

Which application involves using LLMs for generating and reviewing code?

Question 2

What are the components of LLMs?

Question 3

How many machine learning parameters does GPT-3 use?

Question 4

What is a potential future prospect for LLMs?

Question 5

What quantity of data does 1 Petabyte equate to?

Question 6

Which business application of LLMs involves generating articles, emails, and social media posts?

Question 7

How does the training process of LLMs improve the model?

Question 8

What kind of data are Foundation Models pre-trained on?

Question 9

What type of neural network architecture is LLMs based on?

Question 10

Approximately how many words are there in 1 GB of text?

Question 11

What is fine-tuning in the context of LLMs?

Question 12

What characteristic enables LLMs to generate adaptable output?

Question 13

What is a Large Language Model (LLM)?

Question 14

How much data was GPT-3 pre-trained on?

Question 15

Which statement best describes the adaptability of output generated by LLMs?