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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 #15486 · 02/12/2026, 12:00 PM

#typescript#cinny#cinnyapp#client#hacktoberfest#matrix#matrix_client#matrix_org#reactjs Cinny is a simple, elegant, and secure Matrix messaging client with end-to-end encryption and open-source code. Use the web app at app.cinny.in, download the desktop version, or self-host easily via GitHub releases, Docker, or your webserver for full control. This lets you chat privately and modernly without relying on big tech apps, giving you privacy, customization, and easy setup on your own server for secure, ad-free messaging. https://github.com/cinnyapp/cinny