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Test your understanding with targeted questions related to the topic.
Question 1
Easy
Create a zero-shot prompt to ask the model to summarize a news article.
💡 Hint: Think about how you would frame your question without any examples.
Question 2
Easy
Provide a simple definition of few-shot prompting.
💡 Hint: Consider how it differs from zero-shot.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does zero-shot prompting involve?
💡 Hint: Think about the definition we discussed.
Question 2
True or False: Few-shot prompting can increase token usage.
💡 Hint: Recall the comparison of the two styles.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
You must develop a robust AI system for customer support. Outline your strategy for integrating zero-shot, few-shot, and chain-of-thought prompting. What are the advantages and drawbacks of each in this solution?
💡 Hint: Consider the types of questions that each prompting method excels at answering.
Question 2
A student is designing an AI application that requires users to input data in specific formats (e.g., JSON). How might they use few-shot prompting effectively while minimizing token costs?
💡 Hint: Focus on how to provide essential examples without overloading input.
Challenge and get performance evaluation