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Zhihu Frontier
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🚀Bringing China's AI & tech trends, voices and perspectives to the global stage. ⚡️Powered by 知乎/ China's leading knowledge community.
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📘 「知乎 AI 蓝宝书」正式上线 收藏夹里的AI文章越来越多,却始终不知道该从哪篇开始? 定好研究方向,想快速搭起框架? 准备秋招,又怕面试时讲不清技术细节? 如果你也遇到过这些问题,不妨从这套「知乎 AI 蓝宝书」开始。 过去几年,越来越多研究者、工程师和一线从业者在知乎分享深入、扎实的 AI 内容。 于是,我们按照技术方向重新筛选、编排知乎上的 AI 专业讨论,把散落的优质内容串连成一条可以循序学习的路径,整理出了这套知乎 AI 蓝宝书。 每一篇,都是沉淀下来的真实经验:做过的研究、对技术趋势的理性思考、亲手跑过的项目、面试现场被反复追问的问题…… 我们没有重写一套教材,而是希望为已有的好内容绘制一张更清楚的地图。 首期收录了来自 68 位创作者的 80 多篇精选内容,分为三大方向: 🖥️ AI infra 🧠 大模型强化学习 🤖 具身智能 它不是一本传统教材,更像是一张学习地图,串联起原理讲解、源码解析、项目复盘、面试经验和开源教程。 🧭 如何使用: 1️⃣ 先阅读导读,了解核心概念和必备的前置知识。 2️⃣ 根据自己当下的需求,选择对应章节。 3️⃣ 带着引导问题阅读每篇内容,再用文末的自测题检验自己是否真正理解。 4️⃣ 点击链接阅读知乎原文,查看完整推导、实现细节和社区讨论。 5️⃣ 跟着实战项目和开源教程动手练习,把学到的知识真正用起来。 无论你正在探索新的研究方向、推进手头的项目,还是准备技术面试,都可以从知乎 AI 蓝宝书中找到适合自己的起点,逐步建立更完整的知识体系。 🤝 部分开源教程由内容合作伙伴 @datawhale2018 提供。 🌏 当前版本为中文版,英文版也在准备中。 🚀 这只是第一期,更多主题和学习路径将陆续上线…… 🔗 阅读「知乎 AI 蓝宝书」: 💻 GitHub : 如果你觉得这份蓝宝书对你有帮助,欢迎给仓库点一颗 Star,也告诉我们你希望下一期看到什么主题。🌟 ----- 📘 Introducing the Zhihu AI Cookbook (CN) Saved dozens of AI articles but still not sure where to begin? We’ve organized some of Zhihu’s best technical discussions into clear, structured learning paths. Over the past few years, Zhihu has become home to a wealth of in-depth AI writing from researchers, engineers and practitioners. The Zhihu AI Cookbook brings together some of the most useful and enduring pieces in one place. The first edition brings together 80+ selected posts from 68 contributors across three tracks: 🖥️ AI Infra 🧠 Reinforcement Learning for LLMs 🤖 Embodied AI It’s not another textbook. Think of it as a map connecting explainers, source-code walkthroughs, project retrospectives, interview insights and open-source tutorials. 🧭 How to use it: 1️⃣ Start with the introductory guide to understand the key concepts and prerequisites. 2️⃣ Choose the chapter that matches what you need right now. 3️⃣ Read each selection with a guiding question, then use the self-check prompts to test your understanding. 4️⃣ Follow the links to the original Zhihu posts for full derivations, implementation details and community discussions. 5️⃣ Put the ideas into practice with hands-on projects and open-source tutorials. Whether you’re exploring a new research direction, working through a project or preparing for technical interviews, the Zhihu AI Cookbook can help you find the right place to start and build a more complete understanding. 🤝 With open-source tutorials contributed by our content partner @datawhale2018 🌏 This edition is currently available in Chinese. An English version is coming soon. 🚀This is only the first edition. More topics and learning paths are on the way… 🔗 Explore the Zhihu AI Cookbook (CN): 💻 View it on GitHub: If you find it useful, give the repo a star and let us know what topic we should cover next. 🌟 #AI# #ReinforcementLearning# #MachineLearning# #LLM# #EmbodiedAI# #AIInfrastructure#
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📘 Introducing the Zhihu AI Cookbook (CN) Saved dozens of AI articles but still not sure where to begin? We’ve organized some of Zhihu’s best technical discussions into clear, structured learning paths. Over the past few years, Zhihu has become home to a wealth of in-depth AI writing from researchers, engineers and practitioners. The Zhihu AI Cookbook brings together some of the most useful and enduring pieces in one place. The first edition brings together 80+ selected posts from 68 contributors across three tracks: 🖥️ AI Infra 🧠 Reinforcement Learning for LLMs 🤖 Embodied AI It’s not another textbook. Think of it as a map connecting explainers, source-code walkthroughs, project retrospectives, interview insights and open-source tutorials. 🧭 How to use it: 1️⃣ Start with the introductory guide to understand the key concepts and prerequisites. 2️⃣ Choose the chapter that matches what you need right now. 3️⃣ Read each selection with a guiding question, then use the self-check prompts to test your understanding. 4️⃣ Follow the links to the original Zhihu posts for full derivations, implementation details and community discussions. 5️⃣ Put the ideas into practice with hands-on projects and open-source tutorials. Whether you’re exploring a new research direction, working through a project or preparing for technical interviews, the Zhihu AI Cookbook can help you find the right place to start and build a more complete understanding. 🤝 With open-source tutorials contributed by our content partner, @datawhale2018. 🌏 This edition is currently available in Chinese. An English version is coming soon. 🚀This is only the first edition. More topics and learning paths are on the way… 🔗 Explore the Zhihu AI Cookbook (CN): 💻 View it on GitHub: If you find it useful, give the repo a star and let us know what topic we should cover next. 🌟 #AI# #LLM# #EmbodiedAI# #AIInfrastructure# #ReinforcementLearning# #MachineLearning#
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