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Machine Learning for Kids: Making the Cat in Scratch Answer Questions by Using the BERT Language Model

Note that the two brilliant plug-ins for Scratch 3.0 were created by Mr. Dale Lane from www.machinelearningforkids.co.uk. I just saw and purchased Dale's book titled "Machine Learning for Kids" from  January 2021. You can/should get it here (this is not an affiliate link): https://www.amazon.com/Machine-Learning-Kids-Project-Based-Introduction/dp/1718500564/

Date: February 2, 2022
Author: Torsten Volk
Source: Tango

1. Use the link from the MachineLearningForKids.co.uk site to open Scratch

Scratch is a simple programming environment for kids, created by MIT.

2. Click on the bottom right icon to open the

Click on the bottom right icon to open the

3. Click on Finds the answer to a question in some text

Click on Finds the answer to a question in some text

4. Drag highlighted element

Drag highlighted element

5. Then click again on the "Extensions" button at the bottom left.

Then click again on the "Extensions" button at the bottom left.

6. Click on Get the text from pages on Wikipedia.

Click on Get the text from pages on Wikipedia.

7. Drag highlighted element

Drag highlighted element

8. Type in the Wikipedia search term you want the BERT algorithm to derive its answer from.

Type in the Wikipedia search term you want the BERT algorithm to derive its answer from.

9. Ask your question: What color is a ruby?

Ask your question: What color is a ruby?

10. Drag an output function to the stage -> Looks -> Say

Drag an output function to the stage -> Looks -> Say

11. Connect the Triggering Event

Connect the Triggering Event

12. Trigger the Event by Clicking the Green Flag: Now the cat will answer your question in a text bubble.

Trigger the Event by Clicking the Green Flag: Now the cat will answer your question in a text bubble.

This workflow was created with Tango.

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  • Home
  • MLOps
    • EMA Top 3 Award Product Showcases >
      • Cisco Hyperflex
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    • EMA Products to Watch - Infrastructure as Code - Pulumi
  • EMA Research Facts
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    • Site Reliability Engineering
    • Kubernetes
    • Digital Transformation
  • Machine Learning for Kids
    • BERT for Kids
    • Evolution
    • NLP-Jurassic-1
  • FAQ