66. Which of the following is a limitation of GPT models for text generation?
A) They are only able to generate short snippets of text
B) They are not able to generate text that is coherent and makes sense in context
C) They may generate biased or offensive text if trained on biased data
D) They can only generate text in English
67. Which of the following is an example of a downstream task that can be performed using a pre-trained GPT model?
A) Object detection in images
B) Text classification
C) Speech recognition
D) Predicting stock prices
68. Which of the following is a potential disadvantage of using GPT models for natural language processing tasks?
A) They are unable to handle complex sentence structures
B) They may generate text that is grammatically incorrect
C) They require large amounts of training data
D) They cannot be fine-tuned for specific use cases
69. Which of the following is true about the training data used for GPT models?
A) It is typically curated by humans to ensure quality
B) It is automatically generated using web scraping techniques
C) It is not important for the performance of the model
D) It is usually preprocessed to remove noise and irrelevant information
70. Which of the following is an example of a task that can be performed using a pre-trained GPT model?
A) Image classification
B) Speech recognition
C) Text summarization
D) Predicting weather patterns
