feat: 完整中文翻译 maths-cs-ai-compendium(数学·计算机科学·AI 知识大全)
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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<text x="350" y="22" text-anchor="middle" font-family="Arial, sans-serif" font-size="14" font-weight="bold" fill="#333">Action Tokenisation: Continuous → Discrete Bins → Tokens</text>
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<text x="110" y="78" text-anchor="middle" font-family="Arial, sans-serif" font-size="11" font-weight="bold" fill="#3498db">Continuous Action</text>
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<text x="110" y="100" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" fill="#3498db">Δx = 0.023 m/s</text>
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<text x="110" y="116" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" fill="#3498db">Δy = -0.051 m/s</text>
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<text x="110" y="132" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" fill="#3498db">grip = 0.8</text>
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<text x="326" y="78" text-anchor="middle" font-family="Arial, sans-serif" font-size="11" font-weight="bold" fill="#f39c12">Discretise (256 bins)</text>
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<text x="326" y="148" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#f39c12">each dim → nearest bin index</text>
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<text x="567" y="78" text-anchor="middle" font-family="Arial, sans-serif" font-size="11" font-weight="bold" fill="#27ae60">Token Sequence</text>
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<!-- Tokens -->
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<text x="103" y="16" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" font-weight="bold" fill="#27ae60">...</text>
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<text x="567" y="148" text-anchor="middle" font-family="Arial, sans-serif" font-size="9" fill="#27ae60">fed to LLM like text tokens</text>
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<!-- Bottom note -->
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<text x="350" y="205" text-anchor="middle" font-family="Arial, sans-serif" font-size="10" fill="#666">Each action dimension is independently binned into 256 discrete tokens → LLM generates them autoregressively</text>
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