Practice Learning Objectives - 2.0 | Understanding AI Language Models | 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 a language model?

πŸ’‘ Hint: Think about how predictive text functions on smartphones.

Question 2

Easy

Name one example of a large language model.

πŸ’‘ Hint: Focus on models used for text generation.

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 does a language model do?

  • Generates images
  • Predicts the next word in a sequence
  • Analyzes data

πŸ’‘ Hint: Recall how predictive text systems work.

Question 2

True or False: LLMs always provide accurate information.

  • True
  • False

πŸ’‘ Hint: Consider the definition of hallucination in AI.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Discuss the implications of relying on LLMs for sensitive tasks. What precautions should prompt engineers take?

πŸ’‘ Hint: Think through ethical considerations and scenarios.

Question 2

Create a prompt designed for GPT and another for Claude. Explain the reasoning behind your choices based on the strengths of each model.

πŸ’‘ Hint: Consider the nature of your request and the model's intended strengths.

Challenge and get performance evaluation