🥋 LLM Dojo

Master LLM Fine-Tuning & Inference — From White Belt to Black Belt

Free, open-source curriculum for mastering large language models. 83 hands-on Google Colab notebooks across 7 stages — from transformer basics to custom CUDA kernels and production inference.

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Curriculum

Stage	Belt	Topics	Notebooks
0	🤍 White	Foundations, Transformers, Tokenization, Data	7
1	💛 Yellow	Full Fine-Tuning, Custom Loss, AMP, Evaluation	10
2	💚 Green	LoRA, QLoRA, Adapters, Prompt Tuning, DoRA	10
3	💙 Blue	FlashAttention, DeepSpeed, FSDP, Instruction Tuning	10
4	🤎 Brown	RLHF, DPO, Constitutional AI, MoE, Safety	10
5	🖤 Black	CUDA Kernels, Triton, Quantization, vLLM, TRT-LLM	10
Inf	❤️ Red	Inference Optimization, KV Cache, GPTQ, AWQ, GGUF	23

Run Locally

npm install && npm run dev

Open http://localhost:3000

Before Pushing to Git

1. Replace YOUR_GITHUB_USERNAME everywhere with your GitHub username
2. Update SITE_CONFIG.url in src/data/curriculum.ts
3. Replace ca-pub-XXXXXXXXXXXXXXXX with your AdSense publisher ID in src/app/layout.tsx and src/components/AdBanner.tsx
4. Replace ad slot placeholder IDs with real ad unit IDs

Deploy to Vercel

npx vercel --prod

SEO

• Per-page metadata, OG tags, Twitter cards
• JSON-LD: WebSite, Course, LearningResource, ItemList
• Auto-generated sitemap.xml (92 URLs)
• robots.txt
• All 92 pages statically pre-rendered

License

MIT