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16: What Technology Powers ChatGPT and What Is the Best Age to Start Learning About AI
Episode 16

16: What Technology Powers ChatGPT and What Is the Best Age to Start Learning About AI

If you want to learn about AI, preorder Romy & Roby and The Secret of Sleep and join Dr. Anastassia Lauterbach on Patreon.In this episode, Anastassia explains the basics of a transformer, a deep learning architecture in AI. She explains why Google ...

AI Snacks With Romy & Roby: Democratizing AI Technologies · Dr. Anastassia Lauterbach: Democratizing AI Expert

August 12, 202428m 23s

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Show Notes

If you want to learn about AI, preorder Romy & Roby and The Secret of Sleep and join Dr. Anastassia Lauterbach on Patreon.


In this episode, Anastassia explains the basics of a transformer, a deep learning architecture in AI. She explains why Google didn't create ChatGPT and offers tips on educating young children about AI and robotics.


Timestamps:


3:00 Explaining the transformer models.

5:35 How attention works in transformer models.

10:28 Applications of transformer models in AI.

14:12 Comparing Google and OpenAI strategies in AI development.

18:26 Trends in optimizing transformer models.

22:19 Best age to introduce children to AI and robotics.

25:09 Recommended books for teaching children about AI and robotics.


Resources Mentioned:


Neural Networks for Babies by Chris Ferrie & Dr. Sarah Kaiser | Book

ABCs of Artificial Intelligence by Chris Ferrie | Book

AI in Your Life! by Chai The AI Bot & Dr. Nisha Talagala | Book

The Wild Robot by Peter Brown | Book

STEM Starters for Kids Robotics Activity Book by Jenny Jacoby | Book

Awesome Robotics Projects for Kids by Bob Katovich | Book


Find More From Dr. Anastassia Lauterbach:


Romy & Roby | Website

Dr. Anastassia Lauterbach | X

Dr. Anastassia Lauterbach | LinkedIn

Topics

AIroboticsrecurrent neural networksRNNsconvolutional neural networksCNNsnatural language processingNLPself-attentionmulti-head attentionencoderdecoderlarge language modelsGoogleChatGPTOpenAItext generationtranslationquestion answeringsentiment analysisspeech recognitioncomputational complexityresource intensityopen-source modelslinear RNNsstate space modelsflash attentionAI in educationmachine learningchildhood educationTransformer modelsLLMs