Output format control in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is output format control in machine learning?

Output format control means deciding how the results from a model or data process are shown or saved, like choosing if predictions appear as numbers, text, or images.

beginner

Why is controlling output format important?

It helps make sure the results are easy to understand and use, like showing predictions in a clear table or saving images in the right size and type.

beginner

Name two common output formats for machine learning predictions.

Common formats include:<br>1. Numeric arrays (like lists of numbers)<br>2. Text labels (like 'cat' or 'dog')

intermediate

How can you control output format in Python when printing model results?

You can use formatting tools like f-strings to show numbers with set decimal places or convert arrays to readable strings.

beginner

What role does output format control play in user experience?

Good output format control makes results clear and useful, helping users trust and understand the model’s answers easily.

What does output format control help with?

A Improving model accuracy

B Making results easy to read and use

C Collecting more data

D Training the model faster

Output format control focuses on how results are shown, not on training speed or accuracy.

Which is a common output format for classification models?

A Audio files

B Raw images

C Text labels like 'spam' or 'not spam'

D Database tables

Classification models often output text labels representing categories.

How can you format a floating number to 2 decimals in Python?

A Using f-string like f'{num:.2f}'

B Using print(num)

C Using int(num)

D Using str(num)

f-strings with :.2f format numbers to 2 decimal places.

What is NOT a reason to control output format?

A To help users understand results

B To save results in a usable way

C To make results clearer

D To improve model training speed

Output format control does not affect training speed.

Which output format is best for showing probabilities?

A Numbers between 0 and 1

B Text labels only

C Images

D Raw data files

Probabilities are best shown as numbers between 0 and 1.

Explain what output format control means and why it matters in machine learning.

Think about how results are shown or saved.

Describe two ways to control output format when showing model predictions.

Consider how you make results easy to read.