KM'24 [W13D2] - Prompt Engineering

KM'24 [W13D2] - Prompt Engineering

Professional Development

5 Qs

quiz-placeholder

Similar activities

ESR fact quiz

ESR fact quiz

Professional Development

10 Qs

AI in Medicine

AI in Medicine

Professional Development

10 Qs

ChatGPT-Intermedia

ChatGPT-Intermedia

Professional Development

10 Qs

ML Quiz

ML Quiz

Professional Development

10 Qs

Generative AI Quiz

Generative AI Quiz

Professional Development

6 Qs

4Cs Training - Movie Lessons Content

4Cs Training - Movie Lessons Content

Professional Development

10 Qs

NU Data Science Club

NU Data Science Club

Professional Development

10 Qs

Final Quiz

Final Quiz

Professional Development

9 Qs

KM'24 [W13D2] - Prompt Engineering

KM'24 [W13D2] - Prompt Engineering

Assessment

Quiz

Other

Professional Development

Easy

Created by

Intan Lestari

Used 6+ times

FREE Resource

5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which skill is crucial for designing effective AI prompts?

  1. Writing lengthy descriptions

  1. Ensuring clarity and specificity

  1. Using technical jargon

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. Which of the following is a common application of AI in solving challenges?

  1. Generating random numbers

Creating static web pages

  1. Analyzing large datasets for patterns and insights

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. Why is it important to test and refine AI prompts?

  1. To make the AI model faster

  1. To achieve the desired output from the AI consistently

  1. To use more computational resources

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. How does reinforcement learning contribute to AI problem-solving?

By using pre-defined rules for all decisions

  1. By learning from feedback to improve future performance

  1. By avoiding any human intervention

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

  1. Which aspect is essential for improving language model performance?

  1. Increasing the model size

  1. Fine-tuning with domain-specific data

  1. Using more training epochs