Coding LLMs from the Ground Up: A Complete Course
Ahead of AI Sebastian Raschka, PhD
A researcher published a comprehensive video course covering how to code large language models from scratch, consisting of approximately 15 hours of content across seven modules covering environment setup, text data processing, attention mechanisms, architecture design, pretraining, and finetuning. The course videos total 2:15:40 for attention mechanisms, 2:36:44 for pretraining, and 1:46:04 for instruction finetuning among other sections. Learners completing this foundational material gain practical understanding of how LLMs function internally, enabling them to contribute more effectively to LLM development and research.
Why it matters
Why build LLMs from scratch? It's probably the best and most efficient way to learn how LLMs really work. Plus, many readers have told me they had a lot of fun doing it.
