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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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@githubtrending · Post #14990 · 07/23/2025, 12:00 PM

#vue#pake#pakeplus#rust#tauri#tauri2#vue3#webapp You can quickly turn any website or web project like Vue or React into a small, fast desktop or mobile app under 5MB using PakePlus. It works on Mac, Windows, Linux, Android, and iOS without needing complex setups. PakePlus is much smaller and faster than similar tools, supports custom JavaScript, and keeps your data secure by using your own GitHub repository. It’s easy to use with just one GitHub token or even without one for local packaging. This helps you create apps fast, hide website addresses, add custom features, and run your web projects as apps on many platforms. https://github.com/Sjj1024/PakePlus