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?