36. What is the purpose of the “fine-tuning” phase in GPT models?
A) To generate text based on input
B) To learn general language representations from large amounts of data
C) To fine-tune the model on a specific task
D) To evaluate the performance of the model on a test set
37. Which of the following is an example of a language model that preceded GPT models?
A) BERT
B) ELMO
C) Word2Vec
D) All of the above
38. Which of the following is a limitation of GPT-3?
A) It requires a large amount of computational resources
B) It has a limited understanding of context and common sense knowledge
C) It cannot generate text in languages other than English
D) It has a limited vocabulary
39. Which of the following is a benefit of GPT models?
A) They can generate human-like text
B) They are highly interpretable
C) They require minimal computational resources
D) They do not require pre-processing of input data
40. What is the purpose of the “self-attention” mechanism used in GPT models?
A) To generate text based on input
B) To learn features from input
C) To compute loss during training
D) To allow the model to attend to different parts of input during training and generation
