156. Which of the following is a potential limitation of using GPT models for text generation?
a) GPT models may generate text that is too repetitive or redundant.
b) GPT models may not be able to generate text that is grammatically correct.
c) GPT models may not be able to generate text in multiple languages.
d) GPT models may not be able to generate text that is creative or original.
157. Which of the following is a potential application of GPT models in the field of legal services?
a) Generating legal documents and contracts
b) Analyzing legal data and trends
c) Automating legal research and analysis tasks
d) All of the above
158. Which of the following is a potential limitation of using GPT models for sentiment analysis?
a) GPT models may not be able to accurately identify sarcasm or irony.
b) GPT models may not be able to accurately identify the sentiment of text in multiple languages.
c) GPT models may not be able to accurately identify the sentiment of text in different domains or contexts.
d) GPT models may not be able to accurately identify the sentiment of short or incomplete text.
159. Which of the following is a potential application of GPT models in the field of human resources?
a) Generating job descriptions and advertisements
b) Analyzing employee feedback and sentiment
c) Automating candidate screening and recruitment tasks
d) All of the above
160. Which of the following is a potential limitation of using GPT models for speech recognition?
a) GPT models may not be able to accurately transcribe speech in different accents or dialects.
b) GPT models may not be able to accurately transcribe speech in noisy or crowded environments.
c) GPT models may not be able to transcribe speech in real-time.
d) GPT models may not be able to transcribe speech in multiple languages.
