11. What is the purpose of the “beam search” decoding 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
12. What is the advantage of using GPT models for language tasks?
A) They require less training data than other models
B) They are faster to train than other models
C) They are more accurate than other models
D) They are more generalized than other models
13. What is the disadvantage of using GPT models for language tasks?
A) They are computationally expensive
B) They require large amounts of training data
C) They are prone to overfitting
D) They are not suitable for complex language tasks
14. What is the main difference between GPT-2 and GPT-3?
A) GPT-3 has more parameters and is more powerful
B) GPT-3 is faster than GPT-2
C) GPT-3 is more accurate than GPT-2
D) GPT-3 is a supervised model, while GPT-2 is unsupervised
15. What is the purpose of the “zero-shot” learning feature in GPT-3?
A) To generate text in a language the model has not been trained on
B) To generate text for a specific task without fine-tuning the model
C) To generate text with a limited vocabulary
D) To generate text with a fixed length
