16. Which of the following tasks can GPT models be used for?
A) Sentiment analysis
B) Speech recognition
C) Object detection
D) Machine translation
17. What is the purpose of the “prompt engineering” technique used in GPT-3?
A) To train the model on specific prompts for a task
B) To modify the pre-training task for better performance on a specific task
C) To increase the diversity of generated text
D) To decrease the number of parameters in the model
18. What is the “few-shot” learning feature in GPT-3?
A) The ability to generate text in a language the model has not been trained on
B) The ability to generate text for a specific task without fine-tuning the model
C) The ability to generate text with a limited vocabulary
D) The ability to generate text with a fixed length
19. Which of the following is a limitation of GPT models?
A) They require a large amount of computation power
B) They are not capable of generating coherent text
C) They are not suitable for large-scale language tasks
D) They are not scalable to larger models
20. What is the purpose of the “prompt-tuning” technique used in GPT-3?
A) To train the model on specific prompts for a task
B) To modify the pre-training task for better performance on a specific task
C) To increase the diversity of generated text
D) To decrease the number of parameters in the model
