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feat: 完整中文翻译 maths-cs-ai-compendium（数学·计算机科学·AI 知识大全）

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翻译自英文原版 maths-cs-ai-compendium，共 20 章全部完成。

第01章 向量 | 第02章 矩阵 | 第03章 微积分
第04章 统计学 | 第05章 概率论 | 第06章 机器学习
第07章 计算语言学 | 第08章 计算机视觉 | 第09章 音频与语音
第10章 多模态学习 | 第11章 自主系统 | 第12章 图神经网络
第13章 计算与操作系统 | 第14章 数据结构与算法
第15章 生产级软件工程 | 第16章 SIMD与GPU编程
第17章 AI推理 | 第18章 ML系统设计
第19章 应用人工智能 | 第20章 前沿人工智能

翻译说明：
- 所有数学公式 $...$ / $$...$$、代码块、图片引用完整保留
- mkdocs.yml 配置中文导航 + language: zh
- README.md 已翻译为中文（兼 docs/index.md）
- docs/ 目录包含指向各章文件的 symlink
- 约 29,000 行中文内容，排除 .cache/ 构建缓存
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flykhan
2026-05-03 10:23:20 +08:00
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<text x="375" y="22" text-anchor="middle" font-family="Arial, sans-serif" font-size="14" font-weight="bold" fill="#333">Speculative Decoding: Draft → Verify → Accept</text>
<!-- Step 1: Draft model generates candidates -->
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<text x="130" y="65" text-anchor="middle" font-family="Arial, sans-serif" font-size="11" font-weight="bold" fill="#3498db">1. Draft Model (1B)</text>
<text x="130" y="80" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#3498db">fast, approximate</text>
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<text x="130" y="138" text-anchor="middle" font-family="Arial, sans-serif" font-size="8" fill="#3498db">5 tokens in ~5ms (1ms each)</text>
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<!-- Step 2: Target model verifies ALL at once -->
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<text x="383" y="65" text-anchor="middle" font-family="Arial, sans-serif" font-size="11" font-weight="bold" fill="#e74c3c">2. Target Model (70B)</text>
<text x="383" y="80" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#e74c3c">slow, accurate — 1 forward pass</text>
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<text x="383" y="138" text-anchor="middle" font-family="Arial, sans-serif" font-size="8" fill="#e74c3c">1 forward pass: ~10ms (verifies all 5)</text>
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<!-- Step 3: Result -->
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<text x="631" y="130" text-anchor="middle" font-family="Arial, sans-serif" font-size="8" fill="#27ae60">= 4 tokens in ~15ms</text>
<!-- Comparison -->
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<text x="375" y="192" text-anchor="middle" font-family="Arial, sans-serif" font-size="11" font-weight="bold" fill="#333">Comparison</text>
<text x="200" y="218" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" font-weight="bold" fill="#e74c3c">Standard Decoding</text>
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<text x="200" y="250" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#666">4 target model calls</text>
<text x="550" y="218" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" font-weight="bold" fill="#27ae60">Speculative Decoding</text>
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<text x="550" y="250" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#666">1 target model call → 2.7x faster</text>
<text x="375" y="272" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" font-weight="bold" fill="#27ae60">Output is statistically identical to standard decoding (lossless)</text>
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