Practice Handling Model Limitations - 8.10 | Prompt Engineering for Technical Applications (Code, Math, Data) | Prompt Engineering fundamental course
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is one way to handle truncation in prompts?

💡 Hint: Think about how you could simplify your request.

Question 2

Easy

Why is output formatting important?

💡 Hint: Consider how information is presented.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What is a technique to deal with potential truncation in long prompts?

  • Outsource the problem
  • Break into parts
  • Ignore the issue

💡 Hint: Think about how you could simplify a long task.

Question 2

True or False: Formatting can impact how well the AI output is understood.

  • True
  • False

💡 Hint: Think about how you present information in your work.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Create a detailed prompt to help the AI solve a complex equation. How will you ensure it effectively understands and performs step-by-step calculations?

💡 Hint: Consider a famous problem you find challenging.

Question 2

Analyze a scenario where the AI incorrectly formats a code snippet. How can you prompt it to reformat correctly?

💡 Hint: Think about how you would code for better visual presentation.

Challenge and get performance evaluation