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Generative LLMs
Discover the inner workings of GPT.

About

This course starts at the basics of Machine Learning and works all the way up to Transformers & GPTs. I've revamped a range of my previous coding problems & video lectures, packaging them together in one place! Finally, this course will always be free.

Along the way, you will also gain proficiency in PyTorch. The only required background knowledge is basic Python!

 

 

 

Topics

  1. What does it mean to train an ML model?

  2. Linear Regression (the foundation of Neural Networks)

  3. Neural Networks

  4. PyTorch Tensors & Functions

  5. Building PyTorch Models

  6. Training PyTorch Models

  7. Tokenization (the foundation of NLP)

  8. Sentiment Analysis

  9. How can we train an LLM on the entire internet?

  10. Attention

  11. Multi Layer Perceptrons

  12. Inference & Sampling

This course consists of 10 + hours of content & over 25 modules. Let's get started.

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Generative LLMs: Full Course

Generative LLMs: Full Course

Generative LLMs: Full Course
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Course Intro

Course Intro

00:22
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Gradient Descent Background

05:41
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Gradient Descent Solution

Gradient Descent Solution

20:20
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Note: Click the Vimeo button to see the video descriptions, which include the practice problems!

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