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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 #15431 · 01/23/2026, 01:30 PM

#cplusplus#3d_engine#arm64#cmake#cplusplus#cpp17#d3d11#directx#directx11#engine#game#game_engine#gamedev#mod#opengl#opensource#sdl#sdl2#stalker#x64#xray_engine OpenXRay is a free, improved version of the X-Ray Engine for S.T.A.L.K.E.R. games like Call of Pripyat and Clear Sky. It adds 64-bit support, higher FPS, bug fixes, modding tools, and runs on Linux, macOS, and more. This benefits you with smoother, more stable gameplay, better performance on modern or non-Windows PCs, and easy access to new mods without changing the classic feel. https://github.com/OpenXRay/xray-16