Free Printable AI Development

Worksheets

AI Development

Total questions: 20

Worksheet time: 10mins

Name

Class

Date

How does Netflix know what movie to recommend?

The platform relies on user surveys and feedback for suggestions.

Recommendations are based solely on the latest movie releases.

Netflix uses viewer ratings and box office success to suggest films.

It looks at what you have watched, liked, or rated before, and also sees what people similar to you enjoy watching

What is the key difference between training and testing in AI?

Training teaches the model using data; testing checks how well it learned

Training deletes data; testing saves it

Training uses images only; testing uses text

Training happens at night; testing in the morning

In Teachable Machine “Smiling vs Not Smiling,” which step comes first?

Testing with random videos

Train the model

Exporting the model to a phone

Collecting image samples of smiling and not smiling faces

What does AI need in order to learn?

Experience, intuition, and creativity.

Data, algorithms, and computational resources.

Feedback, memory, and observation.

Rules, guidelines, and instructions.

Why is data important for AI?

Data is only useful for storing information.

Data is irrelevant for improving AI performance.

It is the "food" that helps AI learn patterns

AI does not require data to function effectively.

What is the phrase that best describes AI without data?

AI becomes super smart

An empty vessel.

A lost cause.

No data = No smart AI

What is “training” in Machine Learning?

Training is the process of teaching a machine learning model to recognize patterns in data by adjusting its parameters based on input data and corresponding outputs.

Training involves creating a dataset without any labels or outputs.

Training is the method of collecting data for analysis and storage.

Training refers to the process of deploying a model into production.

In Teachable Machine, what happens when you press “Train Model”?

The model is trained using the provided data.

The model is deleted from the system.

The data is exported to a file.

The model is evaluated for accuracy.

Which Python feature is used to make decisions?

switch statement

for loop

if statement

while loop

10.

What does this Python list store?

fruits = ["apple", "banana", "orange"]

A list of fruit names.

A list of animal species.

A collection of vegetable names.

An array of color names.

11.

What type of AI project is “Image Classification”?

Reinforcement Learning

AI that writes emails

AI that labels and categorizes images

Unsupervised Learning

12.

Which is an example of image classification?

Determining the resolution of an image file.

Sorting images by their file size.

Filtering images based on color saturation.

A self-driving car recognizing a stop sign

13.

What is Text Classification used for?

Text classification is used for summarizing long articles.

Text classification is used for generating random text.

Text classification is used for translating languages.

Sorting emails into spam and not spam

14.

What does a chatbot do?

A chatbot analyzes data for business insights.

A chatbot creates visual content for users.

A chatbot manages social media accounts.

A chatbot simulates conversation with users to provide information or assistance.

15.

Which technology helps chatbots understand typed messages?

Data Mining Techniques

Natural Language Processing (NLP)

Speech Recognition Systems

Machine Learning Algorithms

16.

What can Generative AI do?

Create images, music, and stories

Generative AI can only summarize text and images.

Generative AI is limited to generating code snippets.

Generative AI can only analyze existing data.

17.

In Teachable Machine, the “Preview” section is used for:

To test and visualize model performance in real-time.

To adjust the training parameters for the model.

To view the model's architecture and layers.

To upload new datasets for training.

18.

What is “testing” in Machine Learning?

Testing in Machine Learning is the process of evaluating a trained model's performance on a separate test dataset.

Testing in Machine Learning is the method of optimizing model parameters during training.

Testing in Machine Learning involves collecting data for future predictions.

Testing in Machine Learning is the process of training a model on new data.

19.

What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) refers to advanced computer programming.

Artificial Intelligence (AI) is the use of robots in manufacturing.

Artificial Intelligence (AI) is the simulation of human intelligence in machines.

Artificial Intelligence (AI) is the study of human behavior.

20.

What is the role of a training dataset in Machine Learning?

It is used to evaluate the performance of the model after training.

It is the dataset used to train the model to recognize patterns.

It is used to deploy the model into production.

It is a collection of data that is not used in the training process.

Reset

AI Development

Total questions: 20

Worksheet time: 10mins

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