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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 #14805 · 06/08/2025, 11:30 AM

#c_lang#alsa#audio_visualizer#freebsd#glsl_shaders#linux#macos#ncurses#pipewire#portaudio#pulseaudio#sdl2#sndio#windows Cava is a free, open-source audio visualizer that works on Linux, FreeBSD, macOS, and Windows, letting you see music as moving bars right in your terminal or desktop window[1][3]. It’s easy to install and use, supports many audio systems, and lets you customize colors and settings. The main benefit is that it makes listening to music more fun and visually engaging, especially for people who enjoy seeing sound represented in real time, and it works on almost any computer or device[1][3][4]. https://github.com/karlstav/cava