131. Which of the following is NOT a component of the GPT architecture?
a) Encoder
b) Decoder
c) Attention mechanism
d) Classifier
132. Which of the following is a benefit of using GPT for text generation?
a) GPT can generate text that is more creative and original than human-generated text.
b) GPT can generate text that is tailored to a specific audience or purpose.
c) GPT can generate text that is more concise and to the point than human-generated text.
d) GPT can generate text that is free of grammatical errors and typos.
133. What is the primary difference between GPT-2 and GPT-3?
a) GPT-3 has more parameters and is more powerful than GPT-2.
b) GPT-2 is designed for text classification, while GPT-3 is designed for text generation.
c) GPT-3 is better at generating coherent and grammatically correct text than GPT-2.
d) There is no difference between GPT-2 and GPT-3.
134. What is the purpose of pretraining a GPT model?
a) To fine-tune the model on a specific task.
b) To increase the model’s accuracy on a specific task.
c) To enable the model to generate text that is coherent and grammatically correct.
d) To teach the model to understand the structure and context of natural language text.
135. Which of the following is a popular method for fine-tuning GPT models for specific tasks?
a) Transfer learning
b) Reinforcement learning
c) Unsupervised learning
d) Clustering
