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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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Yummy 😋

@godlynews1 · Post #15114 · 04/01/2026, 12:36 PM

OptiScaler 发布 v0.9(稳定版),含重大更新 😨https://github.com/optiscaler/OptiScaler/releases/tag/v0.9 在历经七个月的开发和延期后,新增了大量重要功能。 • 此次更新对帧生成(FG)设置进行了重大重写,新增了 XeFG 和 Redstone FSR4-FG,并将选项分为 FG 源和 FG 输出。 • OptiScaler v0.9 现在捆绑了最新的 Fakenvapi(1.4)和 Nukems dlssg-to-fsr3(0.130), 强烈建议从 v0.7.9 升级的用户使用卸载 BAT 并手动删除旧文件,如 nvapi64.dll。 • 主要功能改进包括更新的 SDK(XeSS 3.0 和 FFX 2.2)、仅限 Arc 的 MFG 支持、FSR4 Vulkan 与 Dx12 支持,以及在 BAT 文件中添加了 OptiPatcher 支持。 • 此次发布包含各种游戏特定的修复和调整、通用 BAT/卸载程序改进,以及新增选项,如 VRR FPS 限制计算器和防止外部程序导致崩溃的进程过滤器。 🗒 标签: #OptiScaler#DLSS#FSR4#帧生成 📢 频道: @GodlyNews1 🤖 投稿: @GodlyNewsBot