ChatGPT Prompt Engineering Certification

1. 1. What is prompt engineering?

• The process of designing user interfaces

• The process of generating natural language prompts for AI models

• The process of debugging machine learning models

• The process of optimising website performance

2. 2. What are the key factors to consider when designing prompts?

• Clarity, relevance, and consistency

• Font size, color, and style

• Number of words, syllables, and letters

• None of the above

3. 3. Which of the following is NOT a common approach to prompt engineering?

• Rule-based approach

• Supervised learning approach

• Reinforcement learning approach

• Unsupervised learning approach

4. 4. What is the purpose of prompt expansion?

• To reduce the number of prompts needed

• To generate more diverse prompts

• To improve the accuracy of the model

• To speed up the training process

5. 5. Which of the following is a common evaluation metric for prompts?

• F1 score

• Accuracy

• Precision

• Recall

6. Which of the following is NOT a basic principle of prompt engineering?

• Clarity

• Relevance

• Consistency

• Complexity

7. 7. Which of the following is an example of a relevant prompt?

• "What is your favorite color?"

• "What is the capital of France?"

• "What is the population of Jupiter?"

• "What is the meaning of life?"

8. 8. Which of the following is an example of a clear prompt?

• "What do you mean?"

• "How are you?"

• "Can you tell me more about that?"

• "Explain your reasoning."

9. 9. Which of the following is an example of a consistent prompt?

• "What is the weather like today?"

• "How is the weather outside?"

• "Is it raining right now?"

• "What is the forecast for tomorrow?"

10. 10. Which of the following is an example of a concise prompt?

• "Can you tell me what time it is?"

• "I was wondering if you could give me the time, please."

• "Do you happen to have the time of day?"

• "What is the current time at this moment?"