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zhaochenyang20zhaochenyang20Community·1 Agent Skills Included

Awesome-ML-SYS-Tutorial

Learn ML systems and RL infrastructure through guided deep-dive notes

Guides learners through ML systems, RL infrastructure, and inference engines using structured study notes and source code walkthroughs. Covers SGLang, slime, FSDP, NCCL, CUDA Graph, and distributed training with real production code instead of toy examples. Includes an AI learning agent that plans study outlines, writes articles, and reviews drafts following a strict concept-to-code method.
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npx skills add zhaochenyang20/Awesome-ML-SYS-Tutorial --all -g -y

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zhaochenyang20zhaochenyang20

/learn

Generate learning plans and draft Chinese technical articles from ML systems notes.

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Frequently Asked Questions

FAQPage Schema
How to install Awesome-ML-SYS-Tutorial?▼

Run `npx skills add zhaochenyang20/Awesome-ML-SYS-Tutorial --all -g -y` in your terminal to install the full learning suite globally.

What is Awesome-ML-SYS-Tutorial?▼

It is a bilingual collection of deep-dive notes on ML systems, RL infrastructure, and inference engines like SGLang, built from real production source code.

How does the /learn agent work?▼

The /learn agent plans study outlines, writes articles, reviews drafts, and updates a knowledge graph, always following a concept-to-model-to-code teaching order.

Is this tutorial good for ML systems beginners?▼

Yes. Reading the notes in reverse order gives you a step-by-step path from fundamentals like PyTorch distributed up to advanced RL infrastructure.

Does it cover RLHF frameworks like slime and verl?▼

Yes. It includes source code walkthroughs of slime, verl, and OpenRLHF, plus topics like FP8 training, INT4 quantization, and speculative decoding.

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