Few-shot prompting in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is few-shot prompting in AI?

Few-shot prompting is a way to teach an AI model by giving it a few examples of the task you want it to do, so it can learn and perform the task without needing a lot of training.

beginner

Why is few-shot prompting useful?

It helps AI models understand new tasks quickly with only a small number of examples, saving time and resources compared to training from scratch.

intermediate

How does few-shot prompting differ from zero-shot prompting?

Few-shot prompting gives the AI some examples to learn from, while zero-shot prompting asks the AI to perform a task without any examples.

beginner

Give an example of few-shot prompting for a text classification task.

Example: Provide 3 sentences labeled as 'positive' or 'negative' sentiment, then ask the AI to classify a new sentence based on those examples.

intermediate

What is a key challenge when using few-shot prompting?

Choosing clear and representative examples is important because poor examples can confuse the AI and reduce its performance.

What does few-shot prompting provide to an AI model?

A A few examples of the task

B No examples at all

C Thousands of training samples

D Only the task description

Few-shot prompting gives the AI a small number of examples to learn from.

Which is true about zero-shot prompting compared to few-shot prompting?

A Zero-shot uses many examples

B Zero-shot uses no examples

C Zero-shot uses fewer examples than few-shot

D Zero-shot is the same as few-shot

Zero-shot prompting asks the AI to perform a task without any examples.

Why might few-shot prompting be preferred over full training?

A It needs less data and time

B It uses complex algorithms

C It always gives perfect results

D It requires no examples

Few-shot prompting saves time and data by using only a few examples.

What is important when selecting examples for few-shot prompting?

A Examples should be confusing

B Examples should be unrelated

C Examples should be clear and representative

D Examples should be very long

Clear and representative examples help the AI learn the task better.

Which task can benefit from few-shot prompting?

A Formatting a document

B Running a web server

C Compiling code

D Classifying emails as spam or not

Few-shot prompting is useful for tasks like text classification.

Explain what few-shot prompting is and why it is useful in AI.

Think about teaching a friend with just a few examples.

Describe the difference between few-shot and zero-shot prompting.

Consider how many examples the AI sees before doing the task.