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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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@githubtrending · Post #15435 · 01/25/2026, 11:30 AM

#shell#archlinux#baby_sched#cachy#cachy_scheduler#cachyos#cacule_sched#kernel#linux_kernel#performance#performance_tuning CachyOS offers enhanced Linux kernels with schedulers like BORE for gaming, EEVDF for general use, and BMQ, plus variants for security, servers, real-time, and Steam Deck. They include advanced optimizations like LTO, profile-guided compilation, AMD P-State boosts, ZFS/NVIDIA support, and CPU-specific builds (x86-64-v3/v4, Zen4). Easy repo install auto-detects your CPU for top performance. This boosts your system's speed, responsiveness, and efficiency on modern hardware, making gaming, daily tasks, and heavy workloads smoother and faster. https://github.com/CachyOS/linux-cachyos