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Code files for course "A deep understanding of AI large language model mechanisms"
| Date | Stars |
|---|---|
| 2026-07-31 | 316 |
| 2026-08-01 | 317 |
| 2026-08-06 | 317 |
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# A deep understanding of AI large language model mechanisms <img src="https://sincxpress.com/images/splash_hires.png" width="200" /> ## Course Code Repository [](https://www.udemy.com/) [](LICENSE) [](https://www.python.org/) [](https://pytorch.org/) --- ## About the Course This repository contains **all the Python code** for the Udemy course: **Deep Understanding of Large Language Models (LLMs): Architecture, Training, and Mechanisms**. > **Course URL:** https://www.udemy.com/course/dullms_x/?couponCode=202508 > *(90+ hours of intensive video lectures — theory, math, and code)* This course is a **comprehensive deep dive** into **AI large language models** — the kind of models that power ChatGPT, Claude, Gemini, and other cutting-edge systems. It combines **mathematical foundations**, **architectural details**, and **hands-on PyTorch coding** to give you the deepest possible understanding of how LLMs work. > **See the list of lectures and topics here:** > https://docs.google.com/spreadsheets/d/1jTwXQJBh2aGFdazuVsnS98dcwwjGWL1Uw__U5fOuhEE/edit?usp=sharing --- ## What You Will Learn - **Transformer architecture** and self-attention mechanisms - **Tokenization, embeddings, and encoding layers** - **Training LLMs from scratch** and fine-tuning pre-trained models - **Inference and decoding strategies** - **Optimization, regularization, and scaling laws** - **Evaluation metrics** and understanding LLM limitations - **PyTorch implementation** of core components - **Code challenges** with full explanations and solutions --- ## What's in This Repository - All **lecture code** organized by course section and video - **Code Challenge solutions** — complete, commented Python scripts - **Custom PyTorch implementations** of LLM building blocks - **Data preprocessing and visualization** utilities ## Get the Full Learning Experience While the code here is 100% free, the Udemy course includes: - 90+ hours of video content - Step-by-step walkthroughs of every code example - Mathematical derivations for all key concepts - Tips for real-world AI and NLP projects ## Why This Course Stands Out - Unlike many AI tutorials, this course goes far beyond just calling APIs: - Understand LLM internals — not just how to use them - Build your own Transformer components from scratch in PyTorch - Learn the why, not just the how - Develop skills for research, engineering, and advanced ML work ## About the author Mike X Cohen (that's me :D ) Neuroscientist, educator, and author of multiple books and courses on data science, machine learning, calculus, linear algebra, signal processing, and statistics https://www.udemy.com/course/dullms_x/?couponCode=202508
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