Dive into LLMs is a collection of hands-on programming tutorials for learning large language models.
The project addresses the need for practical, accessible introductory material on large language models by providing programming exercises and examples. It takes an educational approach grounded in university coursework, offering learners a way to gain practical experience with LLM concepts through direct implementation rather than theory alone.
This resource suits students and practitioners seeking entry-level exposure to large language model development and applications. It works well for those enrolled in formal courses on natural language processing or AI safety, or for self-directed learners who want structured programming exercises to complement their understanding. The tutorials are offered as free educational material without commercial intent, making them appropriate for academic settings and individual study.
The project is actively maintained with recent updates that expanded the tutorial scope to include new topics and refined existing content. Pull requests are welcomed from contributors, indicating openness to community participation in developing the material further.
