Drill

Question 1

Question: What impact does clarity have on an LLM's response?

It leads to a response that is appropriate for a fifth-grader.
It will generate an advanced technical response.
It will lead to a focused response.

Question 2

Question: What is the main goal of prompt engineering?

To confuse the model.
To achieve clear and accurate responses.
To make prompts longer.

Question 3

Question: Why is it important for a prompt to be specific?

Specific prompts reduce ambiguity, guiding the model to provide more focused and relevant responses.
Specific prompts allow the model to generate more creative and diverse outputs by exploring broader possibilities.
Specific prompts ensure that the model always provides a perfect answer without requiring further user clarification.

Question 4

Question:Why is it important to include an output format in a prompt?

Specifying an output format ensures the response is structured and aligns with user expectations.
Specifying an output format always guarantees the model's response will be error-free.
Specifying an output format allows the model to generate responses faster.

To learn more ...

Practice prompting on an LLM