Become AI Researcher From Scratch – Full Course – LLM, Math, Pytorch, Neural Networks, Transformers

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Beam AI – https://beam.ai/see-a-demo

Skool (become AI researcher) – https://www.skool.com/become-ai-researcher-2669/about

github – https://github.com/vukrosic/become-elite-ai-researcher

Playlist for machine learning fundamentals – https://www.youtube.com/playlist?list=PL-9_KFQd8ssLS8TV5-GsYhp6fgZ3gZM_a

Discord (Open Superintelligence Lab) – https://discord.gg/6AbXGpKTwN

X – https://x.com/VukRosic99

0:00 – Course Introduction
0:22 – AI Math Roadmap
1:40 – PyTorch Module Overview
2:05 – Neural Networks Overview
3:55 – Transformers Overview
4:45 – Sponsor: Beam AI
7:46 – Math for AI
8:31 – Setup & Requirements
11:30 – Math Curriculum
12:30 – Mathematical Functions
21:26 – Understanding Derivatives
35:39 – Understanding Vectors
48:19 – Understanding Gradients
59:04 – Understanding Matrices
1:10:50 – Understanding Probability
1:21:33 – PyTorch Introduction
1:23:21 – Tensor Operations
1:35:01 – Creating Tensors
1:39:30 – Matrix Multiplication
1:41:03 – Transposing & Permuting
1:43:42 – Indexing & Slicing
1:50:20 – Concatenating Tensors
1:52:43 – Special Tensors
1:56:07 – Single Neuron Explained
2:00:24 – Activation Functions
2:05:24 – Neural Network Layers
2:10:25 – Activation Function Examples
2:13:40 – How Networks Learn
2:14:13 – Attention Mechanism
2:29:35 – Self-Attention Code
2:35:48 – GPT Architecture Overview
2:43:04 – Positional Embeddings
2:47:03 – Causal Self-Attention
2:56:59 – Building the GPT

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