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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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@abmedia_news · Post #24562 · 05/13/2026, 06:00 AM

【🤖 AI 人工智慧|Karpathy CLAUDE.md 衝 126K 星:社群版 12 條進階規則整理】 #ClaudeCode#Claudemd#Karpathy 工程師 Mnilax 於 5 月 9 日提出 12 條規則,擴充 Karpathy 的寫程式情境。 基礎 repo 星數突破 126,000,宣稱將開發錯誤率從 41% 降至 3%。內容對應多代理痛點,雖相關數據未經驗證。 📍閱讀全文: https://abmedia.io/claude-md-12-rules-karpathy-mnilax-extended-may-2026 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io