Practice Learning Objectives - 2.0 | Understanding AI Language Models | Prompt Engineering fundamental course
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Learning Objectives

2.0 - Learning Objectives

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a language model?

💡 Hint: Think about how predictive text functions on smartphones.

Question 2 Easy

Name one example of a large language model.

💡 Hint: Focus on models used for text generation.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does a language model do?

Generates images
Predicts the next word in a sequence
Analyzes data

💡 Hint: Recall how predictive text systems work.

Question 2

True or False: LLMs always provide accurate information.

True
False

💡 Hint: Consider the definition of hallucination in AI.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Think through ethical considerations and scenarios.

Challenge 2 Hard

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

💡 Hint: Consider the nature of your request and the model's intended strengths.

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