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Generative LLMs has helped countless students
understand how models like ChatGPT work.
This course doesn't require any experience with Machine Learning.
Amit R
I love the attention to detail that Dev provides, with minimal theory to get started with implementation. This is exactly how I wanted to learn.
Shekhar C
The courses have been a LIFESAVER for me. They're comprehensive and easy to understand, almost like having a personal expert by your side.
Chang L
The structure has significantly boosted my confidence in AI/ML. Highly recommend for anyone serious about advancing in this field.
Course Content
01.
Training ML Models
02.
Neural Networks
03.
PyTorch Essentials
04.
NLP Crash Course
05.
GPT Neural Networks
Simon Wang, Singapore
"Dev has a knack for simplifying complex concepts."
Jane Grant, New York
"This course contains a wealth of detailed concepts that you won't find collected together anywhere else.
Highly recommend."
Rafael Ruiz, Spain
"I love how all the concepts are tied together from module to module."
What's Inside
Generative LLMs is comprised of 3 main chapters.
Chapter 1: ML Fundamentals
We start off the course with Gradient Descent, Linear Regression, and Neural Networks.
Chapter 2: PyTorch & NLP
Next, we'll learn the essentials of PyTorch so that we can implement NLP models.
Chapter 3: Transformers
Finally, we'll deeply understand concepts like Attention, Multi Layer Perceptrons, and Sampling.
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Course Intro
00:22
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Gradient Descent Background
05:41
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Gradient Descent Solution
20:20
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Linear Regression Background
12:09
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