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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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@emagzinewspars · Post #9490 · 11/06/2025, 07:04 AM

#Beijing_Review🇨🇳📕[PDF]⬇️ 6 #November2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines Beijing Review spotlights China’s #15thFiveYearPlan and its vision for a coordinated, green, and globally inclusive future. The issue unpacks Xi–Trump #Summit diplomacy in Busan, China’s push for #GenderEquality partnerships, and #RCEP as an engine for regional #Integration. Articles explore how strategic planning drives #Sustainability and global development under the banner of #Modernization. From energy transition to cyberspace security, the issue portrays a confident China charting a course for shared growth and stability. #China#GlobalGovernance#Sustainability#FiveYearPlan#RCEP#XiTrumpMeeting#ClimateAction#DigitalFuture#GenderEquality#AsiaPacific