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Source channel @FengChingLocalization · Post #79 · Aug 8

#MacOS 仅限 Mac 设备使用

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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