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Source channel @githubtrending · Post #14926 · Jul 8

#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

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Lsposed Modules Updates Tracker

@lsposed_Modules_Updates_Trackers · Post #6800 · 04/27/2026, 08:01 PM

#An#rick7 模块:com.zwk.xintent 简介:An Intent traffic monitoring tool. 版本:100-v1.0.0 更新时间:2021/09/27 13:22:23 更新日志: Initial release @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot

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