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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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@JianjiaoPD · Post #10372 · 01/27/2026, 03:22 PM

✈️MistRelay | 用 Telegram 直接控 aria2,下完还能自动传 OneDrive 🏷 检索标签:#MistRelay#TGbot#TG#aria2#OneDrive ⭐️ 详情介绍:MistRelay 是一套跑在服务器上的下载控制系统,把 aria2 的控制权直接搬进 Telegram,你在 TG 里发命令就能加任务、看进度、改路径,适合不想再登 SSH 或开 Web 面板的人,它把流程收得很干脆:批量添加 HTTP/磁力/种子、实时显示下载进度、下载完成后还能按你设定的规则继续处理,整个过程基本不用离开聊天窗口 关于自动化这一块,Docker 一键部署 把 aria2 和 rclone 打包好,下载结束后可以 自动上传到 OneDrive,还留了 /web 快速跳转 AriaNg 方便需要细调时用 📖GitHub · Telegram_MistRelay 😌频道 |🙂群聊 |😋中文包 |☺️搜索