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The LLM Dojo project offers 83 free Google Colab notebooks, systematically covering a complete learning path from basic concepts of large language models to advanced fine-tuning and inference techniques, suitable for learners at all stages from beginners to experts.
Section 01
The LLM Dojo project provides 83 free Google Colab notebooks, using a graded dojo model from 'white belt to black belt' to cover a complete learning path from basic LLM concepts to advanced fine-tuning and inference techniques, suitable for learners at all stages from beginners to experts.
Section 02
LLM technology is developing rapidly (e.g., models like GPT, Llama, Qwen), but learners face challenges such as fragmented information and high practical thresholds. Drawing on the grading concept of martial arts dojos, LLM Dojo divides learning into clear levels. Its core advantages include a step-by-step knowledge system, practice orientation (code examples), immediate feedback (verification of running results), and a community mutual assistance atmosphere.
Section 03
The curriculum is divided into six levels: White Belt (Basic Introduction: LLM concepts, environment setup, prompt engineering); Yellow Belt (Inference Optimization: decoding strategies, quantization acceleration, RAG); Green Belt (Supervised Fine-tuning: data preparation, full-parameter fine-tuning, training techniques); Blue Belt (Efficient Fine-tuning: LoRA/QLoRA, PEFT methods, advanced training); Brown Belt (Alignment and RL: RLHF process, safety alignment, multimodal expansion); Black Belt (Expert Practice: architectural innovation, cutting-edge inference, production deployment).
Section 04
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Section 06
LLM Dojo provides a clear growth path for learners with its systematic curriculum, rich practice, and open community, suitable for people at all stages. With the improvement of the 83 notebooks and the growth of the community, it is expected to become an important resource in the field of LLM education.
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