What is generative AI and why it exploded in AI for Everyone - Practice Questions & Exercises

Challenge - 5 Problems

🧠 Conceptual

intermediate

What is the main function of generative AI?

Generative AI is designed to:

A Generate new content like text, images, or music

B Classify images into categories

C Detect anomalies in data

D Compress large datasets efficiently

💡 Hint

Think about what 'generative' means in everyday language.

Generative AI creates new content such as text, images, or music, unlike models that only classify or analyze existing data.

🧠 Conceptual

intermediate

Why did generative AI become very popular recently?

Which of these is NOT a main reason for the recent explosion of generative AI?

A Advances in computing power like GPUs

B Availability of large datasets for training

C Improved algorithms and model architectures

D Decrease in internet usage worldwide

💡 Hint

Consider what helps AI learn better and faster.

The explosion is due to better hardware, more data, and smarter algorithms. Internet usage decreasing would not help AI progress.

❓ Metrics

advanced

Which metric best measures the quality of text generated by a generative AI model?

You want to evaluate how well a generative AI writes sentences. Which metric is most suitable?

A Accuracy

B BLEU score

C Confusion Matrix

D Mean Squared Error

💡 Hint

Think about comparing generated text to reference text.

BLEU score measures how close generated text is to human-written text, unlike accuracy or error metrics used in other tasks.

❓ Model Choice

advanced

Which model architecture is commonly used for generative AI in text?

Which of these model types is most commonly used to generate human-like text?

A Transformers

B Recurrent Neural Networks (RNNs)

C Convolutional Neural Networks (CNNs)

D Support Vector Machines (SVMs)

💡 Hint

This architecture uses attention mechanisms and is behind popular models like GPT.

Transformers use attention to handle long-range dependencies and are state-of-the-art for text generation.

🔍 Analysis

expert

What error will this code cause when generating text with a transformer model?

Consider this Python snippet using a transformer model: ```python output = model.generate(input_ids, max_length=50, do_sample=True) print(output) ``` If `input_ids` is missing or None, what error will occur?

A ValueError: max_length must be positive

B AttributeError: 'NoneType' object has no attribute 'generate'

C ValueError: input_ids have to be passed and be a tensor or list

D RuntimeError: CUDA out of memory

💡 Hint

Think about what happens if you pass None where a list or tensor is expected.

If input_ids is None, the model.generate() method explicitly checks and raises a ValueError because input_ids must be provided as a tensor or list.

Practice

1. What does generative AI primarily do?

easy

A. Creates new content by learning from examples

B. Only classifies existing data

C. Deletes irrelevant data automatically

D. Stores data without processing

Solution

1. Step 1: Understand the purpose of generative AI

   Generative AI is designed to create new content such as images, text, or music by learning patterns from existing examples.

2. Step 2: Compare options with the definition

   Only Creates new content by learning from examples describes creating new content by learning from examples, while others describe unrelated tasks.

3. Final Answer:

   Creates new content by learning from examples -> Option A

4. Quick Check:

   Generative AI = Creates new content [OK]

Hint: Generative AI means making new stuff from learned data [OK]

Common Mistakes:

• Confusing generative AI with data classification
• Thinking generative AI only stores data
• Assuming generative AI deletes data

2. Which of the following is the correct way to describe generative AI's main function?

easy

A. It analyzes data without creating anything new

B. It generates new content based on learned patterns

C. It deletes old data to save space

D. It only sorts data into categories

Solution

1. Step 1: Identify generative AI's function

   Generative AI creates new content by learning patterns from data.

2. Step 2: Match options to this function

   It generates new content based on learned patterns correctly states that generative AI generates new content based on learned patterns; others describe different tasks.

3. Final Answer:

   It generates new content based on learned patterns -> Option B

4. Quick Check:

   Generative AI generates new content = A [OK]

Hint: Look for 'generates new content' phrase [OK]

Common Mistakes:

• Choosing options about deleting or sorting data
• Confusing analysis with generation
• Ignoring the 'new content' aspect

3. Consider this simple example: A generative AI model is trained on many pictures of cats. What will it most likely do when asked to create a new image?

medium

A. Generate a new image that looks like a cat but is unique

B. Copy one of the training images exactly

C. Delete all cat images from its memory

D. Classify the image as a cat or not

Solution

1. Step 1: Understand generative AI training

   The model learns patterns from many cat images but does not memorize exact copies.

2. Step 2: Predict model output

   It creates a new, unique image that resembles a cat, not an exact copy or deletion.

3. Final Answer:

   Generate a new image that looks like a cat but is unique -> Option A

4. Quick Check:

   Generative AI creates unique content = B [OK]

Hint: Generative AI creates new, not copied, content [OK]

Common Mistakes:

• Thinking it copies training images exactly
• Confusing generation with classification
• Assuming it deletes data after training

4. A developer wrote this about generative AI: "It exploded because it deletes old data to save space." What is wrong with this statement?

medium

A. Generative AI is unrelated to data storage

B. Generative AI only deletes data, it does not create

C. Generative AI does not delete data; it creates new content

D. Generative AI exploded because it deletes data faster

Solution

1. Step 1: Analyze the statement about deletion

   The statement says generative AI exploded due to deleting old data, which is incorrect.

2. Step 2: Clarify generative AI's real function

   Generative AI creates new content by learning from data; it does not delete data to save space.

3. Final Answer:

   Generative AI does not delete data; it creates new content -> Option C

4. Quick Check:

   Generative AI creates, not deletes data = D [OK]

Hint: Remember: generative AI creates, not deletes data [OK]

Common Mistakes:

• Confusing data deletion with content creation
• Assuming explosion means faster deletion
• Ignoring generative AI's creative role

5. Why did generative AI become very popular recently?

hard

A. Because it requires less computing power than before

B. Because it deletes data faster than before

C. Because it only classifies data more accurately

D. Because of advances in technology and more available data

Solution

1. Step 1: Identify reasons for generative AI's popularity

   Generative AI exploded due to better technology and more data to learn from.

2. Step 2: Evaluate options against this reason

   Because of advances in technology and more available data matches the correct reason; others mention unrelated or incorrect causes.

3. Final Answer:

   Because of advances in technology and more available data -> Option D

4. Quick Check:

   Popularity = tech advances + data [OK]

Hint: Popularity grew with tech and data growth [OK]

Common Mistakes:

• Thinking popularity is due to data deletion
• Confusing classification improvements with generative AI growth
• Assuming less computing power caused explosion