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Source channel @olddriverGDstudy · Post #9 · Mar 17

#语录 凡哥语录 也许大家会觉得这里规矩多,甚至去年我还听说别人评价我们这是集中营,可是到头来,所谓“自由”的那些群如今一个个都凉了,只有我们健康持续的发展着,大队就是个平台,平台是属于大家的,我们就是帮你们维持好正常运营,别的真没多想,其实你们扪心自问,应该也有个中肯的评价吧 你这不够推拉,不能这么舔,你要说,我考虑一下,看你表现,下次给你准备点小惊喜 找女朋友炮友什么的,不能一味舔狗,要调动妹子的注意力和心情,不是说要pua人家,但是人pua不也是强调以我为主,讲究拉扯么,这个也一样的呀,当然啦,面对🐔还是给钱实在点,别整那些有的没的

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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