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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 #15258 · 11/01/2025, 01:30 PM

#python#blocknotejs#collaborative#django#documentation#g2g#government#knowledge#knowledge_base#mit#mit_license#opensource#reactjs#realtime_collaboration#self_hosted#wiki#yjs Docs is a collaborative online text editor that helps you and your team write, edit, and organize documents together in real time, even offline. It offers easy formatting, AI tools like summarizing and rephrasing, and secure sharing with controlled access. You can export documents in various formats and create structured knowledge with subpages. Docs is open source, easy to self-host, and used by public organizations, ensuring your data stays secure and private. This tool saves time, improves teamwork, and turns your notes into organized knowledge you can access anytime. It’s great for teams wanting efficient, secure, and collaborative document editing. https://github.com/suitenumerique/docs