141. Which of the following is a potential limitation of using GPT models for text generation?
a) GPT models may generate text that is biased or discriminatory.
b) GPT models may generate text that is too generic or uninformative.
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 coherent and grammatically correct.
142. Which of the following is a potential application of GPT models in the field of healthcare?
a) Generating medical diagnoses and treatment plans
b) Analyzing medical images and test results
c) Predicting patient outcomes and disease progression
d) All of the above
143. Which of the following is NOT a benefit of using GPT models for text generation?
a) GPT models can generate text that is more concise and to the point than human-generated text.
b) GPT models can generate text that is tailored to a specific audience or purpose.
c) GPT models can generate text that is more creative and original than human-generated text.
d) GPT models can generate text that is free of grammatical errors and typos.
144. What is the purpose of the softmax function in the GPT architecture?
a) To calculate the probability distribution of the next word in the generated text.
b) To enable the model to focus on specific parts of the input sequence when generating text.
c) To enable the model to learn from feedback and corrections.
d) To enable the model to fine-tune its parameters based on a specific task.
145. Which of the following is a potential limitation of using GPT models for text summarization?
a) GPT models may not be able to accurately summarize text that contains complex or technical information.
b) GPT models may generate summaries that are too long or too short.
c) GPT models may not be able to summarize text in multiple languages.
d) GPT models may not be able to summarize text that is grammatically incorrect.
