6. What is the task of GPT models?
A) Object detection
B) Text classification
C) Image segmentation
D) Speech recognition
7. What is the purpose of fine-tuning a GPT model?
A) To improve its accuracy for a specific task
B) To decrease the number of parameters in the model
C) To make the model more generalized
D) None of the above
8. Which type of language model is GPT?
A) Unsupervised
B) Supervised
C) Semi-supervised
D) None of the above
9. What is the pre-training task used to train GPT models?
A) Image captioning
B) Text generation
C) Text classification
D) Machine translation
10. What is the purpose of the “top-k” sampling technique used in GPT models?
A) To control the length of generated text
B) To limit the vocabulary used in generated text
C) To prioritize the most probable words for generation
D) To increase the diversity of generated text
