21. Which of the following industries can benefit from using GPT models?
A) Healthcare
B) Finance
C) Marketing
D) All of the above
22. What is the purpose of the “in-context learning” feature in GPT-3?
A) To enable the model to learn from previous generated text
B) To increase the diversity of generated text
C) To control the length of generated text
D) To limit the vocabulary used in generated text
23. What is the purpose of the “nucleus 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
24. Which of the following is an application of GPT models in natural language processing?
A) Sentiment analysis
B) Text summarization
C) Question-Answering
D) All of the above
25. What is the purpose of the “temperature” parameter 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 control the randomness of generated text
