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Explore the inner workings of large language models and ChatGPT in this 19-minute video from Wolfram. Delve into the concepts of models, overfitting and underfitting, and the application of neural networks for human-like tasks. Learn how machines recognize digits, understand the structure of neural net layers, and compare them to biological neurons. Discover the process of training neural networks to recognize patterns and perform complex tasks. Gain insights into the fundamental principles behind ChatGPT's functionality and the broader field of machine learning through this informative discussion.
Syllabus
Intro
What Is a Model?
What Happens When You Overfit/Underfit a Model?
Models for Human-Like Tasks
How Does a Machine Recognize Digits?
Neural Nets
Neural Net Layers
Comparison to Neurons
How Do I Make the Neural Net Recognize Something?
How Do You Train the Neural Net?
Taught by
Wolfram