Grokking Prompt Engineering for Software Engineers
Ask Author
Back to course home

0% completed

Vote For New Content
Quiz
Table of Contents

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible

1. What is prompt engineering?
A
a) A type of programming language used to interact with AI
B
b) The process of designing and refining inputs for AI systems to elicit desired outputs
C
c) A method for training AI models to understand human emotions
D
d) A technique for automating software testing using AI
1. What is prompt engineering?
2. Which of the following is NOT a best practice for crafting effective prompts, as discussed in Module 1?
A
a) Be specific and provide context
B
b) Use complex jargon to demonstrate technical expertise
C
c) Clearly state your expectations for the AI's response
D
d) Iterate on your prompts based on the AI's feedback
2. Which of the following is NOT a best practice for crafting effective prompts, as discussed in Module 1?
3. What is a key difference between a general and specific prompt, as explained in the example in Lesson 1.1?
A
a) General prompts are better for generating creative content, while specific prompts are better for technical tasks
B
b) Specific prompts focus on a narrower topic and lead to more detailed and relevant responses compared to general prompts
C
c) General prompts are typically used with more advanced AI models, while specific prompts are suitable for simpler models
D
d) There is no significant difference; both types of prompts yield similar results
3. What is a key difference between a general and specific prompt, as explained in the example in Lesson 1.1?
4. What does the acronym LLM stand for in the context of AI?
A
a) Large Language Model
B
b) Linear Learning Mechanism
C
c) Logic and Language Machine
D
d) Learning Language Module
4. What does the acronym LLM stand for in the context of AI?
5. Which of the following is NOT a component of the self-attention mechanism used in Transformer models, as discussed in Lesson 1.2?
A
a) Queries
B
b) Keys
C
c) Values
D
d) Tokens
5. Which of the following is NOT a component of the self-attention mechanism used in Transformer models, as discussed in Lesson 1.2?

.....

.....

.....

Like the course? Get enrolled and start learning!

Table of Contents

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible

Contents are not accessible