@lsposed_Modules_Updates_Trackers · Post #6824 · 04/28/2026, 02:01 AM
#NoActive#Xin 模块:cn.myflv.noactive 简介:NoActive 版本:260-2.6 更新时间:2022/10/15 13:34:33 更新日志: 1.优化功耗 2.修复唤醒锁 @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot
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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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@lsposed_Modules_Updates_Trackers · Post #6824 · 04/28/2026, 02:01 AM
#NoActive#Xin 模块:cn.myflv.noactive 简介:NoActive 版本:260-2.6 更新时间:2022/10/15 13:34:33 更新日志: 1.优化功耗 2.修复唤醒锁 @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot