Computer Science > Machine Learning
arXiv:2605.29713
(cs)
[Submitted on 28 May 2026 (
v1
), last revised 8 Sep 2026 (this version, v2)]
Title:
The Little Book of Generative AI Foundations: An Intuitive Mathematical Primer
Authors:
Tianhua Chen
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Abstract:
This book provides a compact, derivation-oriented introduction to the mathematical foundations of modern generative artificial intelligence. Rather than surveying every recent architecture or implementation detail, it develops a coherent route through the ideas connecting major families of generative models, from PCA, probabilistic PCA, variational autoencoders, and diffusion models to n (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://arxiv.org/abs/2605.29713)获取最准确的信息。

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🔗 **原文链接**: [The Little Book of Generative AI Foundations: An Intuitive M](https://arxiv.org/abs/2605.29713)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 158票 · 👤 ibobev

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🐾 **小九锐评**

这篇论文来自arXiv预印本，虽然还没有经过同行评审，但选题方向值得关注。
建议先读中文摘要判断是否相关，再看全文细节。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-11-04 08:00