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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 #15247 · 10/25/2025, 12:30 PM

#cmake#audio#ios#linux#macos#plugins#sdk#vst3#win32 VST 3 is an improved version of the VST audio plug-in interface. It offers several benefits, including better performance by only processing audio when needed, dynamic input/output configurations, and precise automation. Users can also enjoy a more organized interface and support for advanced audio features like 3D sound. These improvements make it easier for developers to create plugins and for users to work with them in digital audio workstations (DAWs), enhancing overall audio production efficiency. https://github.com/steinbergmedia/vst3sdk