feat: batch 3 final — initial 15-tutorial collection complete 🎉

Added final 4 cheat sheets:

🎯 Post-Training & Reasoning
- RLHF / DPO / GRPO / PPO

🏛️ LLM Architecture & Systems
- MoE (DeepSeek-V3 / Mixtral / Llama 4)
- Quantization (GPTQ / AWQ / FP8 / NVFP4 / SmoothQuant)

🌊 Generative Models — Theory & Tokenizers
- VAE / VQ-VAE / VQ-GAN / FSQ

All 4 went through main-session DIY codex GPT-5.5 xhigh review (subagent
codex hung), catching real substantive bugs (Q20 Mixtral arithmetic; MoE
§4.4 missing Jacobian cross terms; 8×80GB ≠ 671B FP8; FSQ even-level math
broken; VQ-GAN generator vs discriminator loss conflated; RLHF `<t` HTML
escape bug). All fixed; render reviews pass.

Both CN + EN READMEs updated:
- 4 rows promoted from 🚧 to clickable HTML + MD links
- Footer now ✅ "15 tutorials live — initial batch complete; new topics
  (Diffusion Post-Training, Flow-OPD, Audio Gen, etc.) will be added over
  time; PRs welcome"

Author: wanshuiyin

README.md

@@ -56,17 +56,17 @@
 
 | Topic | HTML | MD |
 |---|---|---|
-| RLHF / DPO / GRPO / PPO | 🚧 | — |
+| **RLHF / DPO / GRPO / PPO** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/rlhf_dpo_grpo_ppo_tutorial.html) | [MD](docs/tutorials/rlhf_dpo_grpo_ppo_tutorial.md) |
 | **Reasoning Models (o1 / R1 / Test-Time Compute / PRM)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/reasoning_models_tutorial.html) | [MD](docs/tutorials/reasoning_models_tutorial.md) |
 
 ### 🏛️ LLM Architecture & Systems
 
 | Topic | HTML | MD |
 |---|---|---|
-| MoE (DeepSeek-V3 / Mixtral / Llama 4) | 🚧 | — |
+| **MoE (DeepSeek-V3 / Mixtral / Llama 4)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/moe_tutorial.html) | [MD](docs/tutorials/moe_tutorial.md) |
 | **Long Context (RoPE / YaRN / NTK / MLA / StreamingLLM)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/long_context_rope_yarn_mla_tutorial.html) | [MD](docs/tutorials/long_context_rope_yarn_mla_tutorial.md) |
 | **KV Cache + Speculative Decoding (Medusa / EAGLE / MLA)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/kv_cache_speculative_decoding_tutorial.html) | [MD](docs/tutorials/kv_cache_speculative_decoding_tutorial.md) |
-| Quantization (GPTQ / AWQ / FP8 / NVFP4 / SmoothQuant) | 🚧 | — |
+| **Quantization (GPTQ / AWQ / FP8 / NVFP4 / SmoothQuant)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/quantization_tutorial.html) | [MD](docs/tutorials/quantization_tutorial.md) |
 | **Distributed Training (DDP / FSDP2 / ZeRO / TP / PP / EP / SP)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/distributed_training_tutorial.html) | [MD](docs/tutorials/distributed_training_tutorial.md) |
 
 ### 🌊 Generative Models — 理论 & Tokenizers
@@ -75,7 +75,7 @@
 |---|---|---|
 | **Flow Matching Quick Reference** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/flow_matching_tutorial.html) | [MD](docs/tutorials/flow_matching_tutorial.md) |
 | **Diffusion Foundations (DDPM / Score / DDIM / EDM / CFG)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/diffusion_foundations_tutorial.html) | [MD](docs/tutorials/diffusion_foundations_tutorial.md) |
-| VAE / VQ-VAE / VQ-GAN / FSQ | 🚧 | — |
+| **VAE / VQ-VAE / VQ-GAN / FSQ** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/vae_vqvae_vqgan_tutorial.html) | [MD](docs/tutorials/vae_vqvae_vqgan_tutorial.md) |
 
 ### 🎨 Generation Systems — 图像 / 视频 / 3D
 
@@ -91,7 +91,7 @@
 |---|---|---|
 | **VLM (CLIP / LLaVA / Qwen-VL / DeepSeek-VL)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/vlm_multimodal_tutorial.html) | [MD](docs/tutorials/vlm_multimodal_tutorial.md) |
 
-> 🚧 表示还在路上（剩 4 篇：RLHF · MoE · Quantization · VAE/VQ，主对话顺序生成中）。
+> ✅ **15 篇齐了** —— 第一波全部就位（2026-05）。后续如果有新方向（Diffusion Post-Training、Flow-OPD、Audio Gen、新 SOTA 方法等）会逐步加；欢迎 PR。
 
 ---
 

README_EN.md

@@ -56,17 +56,17 @@ Core methodology: **cross-model adversarial review** — executor and reviewer m
 
 | Topic | HTML | MD |
 |---|---|---|
-| RLHF / DPO / GRPO / PPO | 🚧 | — |
+| **RLHF / DPO / GRPO / PPO** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/rlhf_dpo_grpo_ppo_tutorial.html) | [MD](docs/tutorials/rlhf_dpo_grpo_ppo_tutorial.md) |
 | **Reasoning Models (o1 / R1 / Test-Time Compute / PRM)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/reasoning_models_tutorial.html) | [MD](docs/tutorials/reasoning_models_tutorial.md) |
 
 ### 🏛️ LLM Architecture & Systems
 
 | Topic | HTML | MD |
 |---|---|---|
-| MoE (DeepSeek-V3 / Mixtral / Llama 4) | 🚧 | — |
+| **MoE (DeepSeek-V3 / Mixtral / Llama 4)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/moe_tutorial.html) | [MD](docs/tutorials/moe_tutorial.md) |
 | **Long Context (RoPE / YaRN / NTK / MLA / StreamingLLM)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/long_context_rope_yarn_mla_tutorial.html) | [MD](docs/tutorials/long_context_rope_yarn_mla_tutorial.md) |
 | **KV Cache + Speculative Decoding (Medusa / EAGLE / MLA)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/kv_cache_speculative_decoding_tutorial.html) | [MD](docs/tutorials/kv_cache_speculative_decoding_tutorial.md) |
-| Quantization (GPTQ / AWQ / FP8 / NVFP4 / SmoothQuant) | 🚧 | — |
+| **Quantization (GPTQ / AWQ / FP8 / NVFP4 / SmoothQuant)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/quantization_tutorial.html) | [MD](docs/tutorials/quantization_tutorial.md) |
 | **Distributed Training (DDP / FSDP2 / ZeRO / TP / PP / EP / SP)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/distributed_training_tutorial.html) | [MD](docs/tutorials/distributed_training_tutorial.md) |
 
 ### 🌊 Generative Models — Theory & Tokenizers
@@ -75,7 +75,7 @@ Core methodology: **cross-model adversarial review** — executor and reviewer m
 |---|---|---|
 | **Flow Matching Quick Reference** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/flow_matching_tutorial.html) | [MD](docs/tutorials/flow_matching_tutorial.md) |
 | **Diffusion Foundations (DDPM / Score / DDIM / EDM / CFG)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/diffusion_foundations_tutorial.html) | [MD](docs/tutorials/diffusion_foundations_tutorial.md) |
-| VAE / VQ-VAE / VQ-GAN / FSQ | 🚧 | — |
+| **VAE / VQ-VAE / VQ-GAN / FSQ** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/vae_vqvae_vqgan_tutorial.html) | [MD](docs/tutorials/vae_vqvae_vqgan_tutorial.md) |
 
 ### 🎨 Generation Systems — Image / Video / 3D
 
@@ -91,7 +91,7 @@ Core methodology: **cross-model adversarial review** — executor and reviewer m
 |---|---|---|
 | **VLM (CLIP / LLaVA / Qwen-VL / DeepSeek-VL)** | [📄 HTML](https://wanshuiyin.github.io/ARIS-in-AI-Offer/tutorials/vlm_multimodal_tutorial.html) | [MD](docs/tutorials/vlm_multimodal_tutorial.md) |
 
-> 🚧 = still in the queue (4 left: RLHF · MoE · Quantization · VAE/VQ — being generated sequentially from the main session).
+> ✅ **15 tutorials live** — initial batch complete (2026-05). New topics (e.g. Diffusion Post-Training, Flow-OPD, Audio Gen, fresh SOTA methods) will be added over time; PRs welcome.
 
 ---