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Source channel @yxvmcom · Post #21 · Nov 10

#Features 我们打开了一项新的功能,此功能目前处于测试阶段,我们将此功能命名为 AnyLAN,你可以使用它快速的建立内网,并且不消耗你的公网流量。 目前此功能分为2个场景: 1. 同节点内网 2. 不同节点内网(2个节点或以上) 我们这里提供一份简易的教程供大家参考:https://yxvm.com/index.php?rp=/knowledgebase/2/How-to-use-AnyLAN.html 需要开启此功能,你必须购买相应产品(目前免费) LAN (必须同节点持有2个以上VPS才可购买): https://yxvm.com/cart.php?pid=44&promocode=DLCH0P1DN7 AnyLAN(必须俩个或以上节点持有VPS才可购买):https://yxvm.com/cart.php?pid=45&promocode=83YHPHA6QG *LAN 限速500Mbps AnyLAN限速100Mbps

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@PikPak_Share_Channel · Post #485 · 06/12/2022, 06:11 AM

资源名称:Data Structures and Algorithms with JavaScript - O'Reilly (2014) 描述:以 JavaScript 實作資料結構與演算法 Data Structures and Algorithms with JavaScript Bringing classic computing approaches to the Web Info Hash: ``` 0B90226862C044D1996903DF7DB9760B5552624E ``` 🧲 链接: magnet:?xt=urn:btih:0b90226862c044d1996903df7db9760b5552624e 👉使用 PikPak 秒存,立即在线观看👈 📁 文件大小:8.58 MiB (8998540 Bytes) 🏷 文件类型:#ebook #pdf #oreilly #javascript #march2014 👨🏼‍🚀 来自分享:雷锋 📢 频道:@PikPak_Share_Channel 👥 群组:@PikPak_Share_Group

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@githubtrending · Post #14926 · 07/08/2025, 11:30 AM

#jupyter_notebook#artificial_intelligence#book#large_language_models#llm#llms#oreilly#oreilly_books You can learn how to use Large Language Models (LLMs) effectively through the book *Hands-On Large Language Models* by Jay Alammar and Maarten Grootendorst. This book uses nearly 300 custom illustrations to explain key concepts and practical tools for working with LLMs, including tokenization, transformers, prompt engineering, fine-tuning, and advanced text generation. It also provides runnable code examples in Google Colab, making it easy to practice and apply what you learn. This resource helps you understand and build your own LLM applications confidently, saving you time and effort in mastering complex AI technology. It’s highly recommended for anyone wanting hands-on experience with LLMs. https://github.com/HandsOnLLM/Hands-On-Large-Language-Models