GenAI applications (text, image, code, audio) - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is a common use of Generative AI in text applications?

Generating human-like text such as writing stories, answering questions, or creating summaries.

beginner

How does Generative AI create images?

It learns patterns from many images and then creates new images by combining those learned features in new ways.

beginner

Name a way Generative AI helps with code.

It can write code snippets, fix bugs, or explain code in simple words.

beginner

What is an example of Generative AI in audio?

Creating music, generating speech from text, or mimicking voices.

intermediate

Why is Generative AI useful across different media types like text, image, code, and audio?

Because it can learn from examples and create new content, helping people save time and be more creative.

Which of these is NOT a typical application of Generative AI?

A Writing a poem

B Creating a painting

C Calculating exact math answers

D Generating music

Generative AI creates new content like text, images, or music, but exact math calculations are usually done by other types of programs.

How does Generative AI help with coding?

A By running code faster

B By writing and explaining code

C By deleting unused files

D By designing hardware

Generative AI can write code snippets and explain code, helping programmers be more productive.

What kind of data does Generative AI learn from to create images?

A Many example images

B Audio recordings

C Text documents

D Mathematical formulas

Generative AI learns from many example images to understand patterns and create new images.

Which Generative AI application can turn text into spoken words?

A Speech synthesis

B Code completion

C Image generation

D Text summarization

Speech synthesis converts text into spoken audio using Generative AI.

Why is Generative AI considered creative?

A Because it only follows strict rules

B Because it copies exact content

C Because it deletes old files

D Because it creates new content based on learned patterns

Generative AI creates new content by learning patterns from data, which is why it is seen as creative.

Explain how Generative AI can be used to create content in text, image, code, and audio formats.

Think about how AI learns from examples and then makes new things in different media.

Describe why Generative AI is helpful for creativity and productivity.

Consider how AI assists people in making new content faster and easier.

Practice

1. Which of the following is NOT a common application of GenAI?

easy

A. Manually coding software without AI help

B. Creating images from simple descriptions

C. Automatically generating text like stories or emails

D. Producing audio like music or speech

Solution

1. Step 1: Understand GenAI applications

   GenAI is used to create text, images, code, and audio automatically from prompts.

2. Step 2: Identify the option that does not involve AI

   Manual coding without AI help is not an application of GenAI.

3. Final Answer:

   Manually coding software without AI help -> Option A

4. Quick Check:

   GenAI applications exclude manual tasks = A [OK]

Hint: Look for the option that does not involve AI generation [OK]

Common Mistakes:

• Confusing manual tasks as AI applications
• Thinking all coding is GenAI
• Ignoring audio as a GenAI output

2. Which of these is the correct way to prompt a GenAI model to generate an image?

easy

A. Write code to manually draw the image pixel by pixel

B. Upload a photo and ask the model to delete it

C. Type 'Generate a photo of a sunset over mountains' as input

D. Ask the model to write a poem about sunsets

Solution

1. Step 1: Understand how to prompt GenAI for images

   You give a text description like 'Generate a photo of a sunset over mountains' to get an image.

2. Step 2: Identify the correct prompt among options

   Type 'Generate a photo of a sunset over mountains' as input is a clear text prompt for image generation; others are unrelated or incorrect.

3. Final Answer:

   Type 'Generate a photo of a sunset over mountains' as input -> Option C

4. Quick Check:

   Text prompt for image generation = B [OK]

Hint: Choose the option with a clear text description for image generation [OK]

Common Mistakes:

• Confusing manual drawing with AI generation
• Uploading photos is not prompting generation
• Mixing text generation with image generation

3. Given this Python code using a GenAI text model:

prompt = "Write a short poem about spring"
response = genai_model.generate(prompt)
print(response)

What is the most likely output?

medium

A. SyntaxError: invalid syntax

B. "Spring blooms bright, with colors anew, Nature wakes up, fresh morning dew."

C. A blank line with no output

D. An image file of flowers

Solution

1. Step 1: Understand the code's purpose

   The code sends a prompt to a GenAI text model to generate a poem about spring.

2. Step 2: Predict the output type

   The model returns a text poem, so the printed output is a short poem about spring.

3. Final Answer:

   "Spring blooms bright, with colors anew, Nature wakes up, fresh morning dew." -> Option B

4. Quick Check:

   GenAI text generation outputs text poem = A [OK]

Hint: GenAI text prompts return text, not errors or images [OK]

Common Mistakes:

• Expecting code errors from correct syntax
• Confusing text output with image output
• Assuming no output from model call

4. You try to generate audio with this code snippet:

audio = genai_model.generate_audio(prompt="Play a relaxing tune")
print(audio)

But you get an error: AttributeError: 'GenAIModel' object has no attribute 'generate_audio'. What is the likely fix?

medium

A. Use the correct method name, like generate(), for audio generation

B. Change the prompt to text instead of audio

C. Restart the computer to fix the error

D. Remove the print statement

Solution

1. Step 1: Analyze the error message

   The error says the model object has no method named 'generate_audio'.

2. Step 2: Correct the method call

   Use the existing method like 'generate()' that supports audio generation via prompt.

3. Final Answer:

   Use the correct method name, like generate(), for audio generation -> Option A

4. Quick Check:

   Fix method name to existing one = C [OK]

Hint: Check method names carefully in error messages [OK]

Common Mistakes:

• Ignoring error details
• Changing prompt instead of method
• Restarting without debugging code

5. You want to build a GenAI app that takes a user's text prompt and returns both an image and a short audio description. Which approach best combines these tasks?

hard

A. Use one GenAI model that supports multi-modal outputs for text, image, and audio

B. Ask users to upload images and audio instead of generating them

C. Generate only text and convert it manually to image and audio later

D. Use separate GenAI models: one for text-to-image, another for text-to-audio, then combine results

Solution

1. Step 1: Understand multi-modal generation needs

   Generating both image and audio from text usually requires specialized models for each type.

2. Step 2: Choose best practical approach

   Using separate models for text-to-image and text-to-audio then combining outputs is common and effective.

3. Final Answer:

   Use separate GenAI models: one for text-to-image, another for text-to-audio, then combine results -> Option D

4. Quick Check:

   Separate models for different media = D [OK]

Hint: Combine specialized models for different media types [OK]

Common Mistakes:

• Assuming one model handles all media perfectly
• Ignoring need to combine outputs
• Asking users to upload instead of generating