THE FUTURE IS HERE

AI Now

Become an AI Researcher Course – LLM, Math, PyTorch, Neural Networks, Transformers

Welcome to the full course on becoming an AI Researcher. This course will guide you step-by-step, starting with the foundational mathematics essential for understanding modern AI, before diving into PyTorch fundamentals. You will then learn about the building blocks of AI, from simple neural networks to the complexities of multi-layer architectures. The course ends with an in-depth module on Transformers, the critical technology underpinning today’s Large Language Models (LLMs) and generative AI.

Course from @vukrosic.

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

Vuk on X: https://x.com/VukRosic99

❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba)

⭐️ Contents ⭐️
– 0:00:00 Course Introduction
– 0:01:05 AI Math Roadmap
– 0:02:23 PyTorch Module Overview
– 0:02:48 Neural Networks Overview
– 0:04:38 Transformers Overview
– 0:05:28 Sponsor: Beam AI
– 0:08:29 Math for AI
– 0:09:14 Setup & Requirements
– 0:12:13 Math Curriculum
– 0:13:13 Mathematical Functions
– 0:22:09 Understanding Derivatives
– 0:36:22 Understanding Vectors
– 0:49:02 Understanding Gradients
– 0:59:47 Understanding Matrices
– 1:11:33 Understanding Probability
– 1:22:16 PyTorch Introduction
– 1:24:04 Tensor Operations
– 1:35:44 Creating Tensors
– 1:40:13 Matrix Multiplication
– 1:41:46 Transposing & Permuting
– 1:44:25 Indexing & Slicing
– 1:51:03 Concatenating Tensors
– 1:53:26 Special Tensors
– 1:56:50 Single Neuron Explained
– 2:01:07 Activation Functions
– 2:06:07 Neural Network Layers
– 2:11:08 Activation Function Examples
– 2:14:23 How Networks Learn
– 2:14:56 Attention Mechanism
– 2:30:18 Self-Attention Code
– 2:36:31 GPT Architecture Overview
– 2:43:47 Positional Embeddings
– 2:47:46 Causal Self-Attention
– 2:57:42 Building the GPT

🎉 Thanks to our Champion and Sponsor supporters:
👾 Drake Milly
👾 Ulises Moralez
👾 Goddard Tan
👾 David MG
👾 Matthew Springman
👾 Claudio
👾 Oscar R.
👾 jedi-or-sith
👾 Nattira Maneerat
👾 Justin Hual

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