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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 #9475 · 11/04/2025, 08:13 AM

#Beijing_Review🇨🇳📕[PDF]⬇️ 30 #October2025 #Weekly_Magazines For learning, for free(dom). @backupofmagazines This issue honors the #UnitedNations at 80, calling it a cornerstone of global cooperation. The cover story explores China’s role as a builder of inclusive #GlobalGovernance and its blueprint for shared progress. From women’s empowerment in #Agriculture to structural resilience and economic elasticity, features reveal the new dynamics shaping the #GlobalSouth. Insights on #ChinaUSRelations, the #ChinaMexico partnership, and Hainan’s innovation wave highlight how diplomacy and commerce interconnect. The culture section revives #SilkRoad heritage and Beijing’s ancient treasures. A visionary issue linking history, equality, and collective resilience for a changing world. #Sustainability#Equality#UN80#AsiaVoice#BRInsights