Learning AI (LLM) Guide
Learning AI (LLM Models) Guide
Here is a simple guide that can set you up to learn AI (LLM Models Specifically):
Note: There are plenty of resources out there. These are just suggestions that I've come across, and for each topic, you can find many alternatives that suite your learning style. Also, the Mathematics that is needed is not included as part of this guide.
What are neural networks?
https://www.youtube.com/watch?v=aircAruvnKk
https://www.youtube.com/watch?v=0QczhVg5HaI
Why neural networks can approximate (any) function [Universal Approximation Theory]
https://www.youtube.com/watch?v=Ijqkc7OLenI
A Neural Network Playground to explore the behavior of Neural Networks in an interactive way (By Tensorflow)
https://playground.tensorflow.org/
How back-propagation works?
https://www.youtube.com/watch?v=Ilg3gGewQ5U
What are transformers?
https://www.youtube.com/watch?v=XSSTuhyAmnI
The intuition behind the Self-Attention mechanism in Transformers networks
https://www.youtube.com/watch?v=g2BRIuln4uc
PyTorch (AI Library for Python by Meta AI) short course
https://www.youtube.com/watch?v=c36lUUr864M
Building GPT in PyTorch tutorial