LLM From Scratch - The Textbook
A comprehensive 25-chapter textbook covering everything from mathematical foundations to frontier architectures. 1.1 MB of dense technical content with pseudocode, worked examples, and tensor shapes.
Read the Textbook →Welcome, Ravi
This curriculum is designed specifically for ML engineers who want to gain deep technical expertise in LLMs. Each lesson includes interactive visualizations, PyTorch code equivalents, and comprehension quizzes. Your questions and our discussions will be documented and incorporated into the tutorials for future reference and sharing.
Prerequisites
- Python proficiency
- Linear algebra
- Calculus basics
- ML/DL fundamentals
- PyTorch basics
Note: No prior RL knowledge required - Module 4 starts from scratch!
Curriculum
Q&A Log
Questions you ask during our learning sessions will be documented here, along with the answers. This creates a valuable reference and can be used for your YouTube content and blog posts.
No Q&A entries yet. Start learning and ask questions!