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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 #24539 · 05/12/2026, 09:00 AM

【💰 人物觀點|大賣空 Burry:AI 熱潮神似 2000 年網路泡沫,投資人應提高現金水位】 #MichaelBurry#AIBubble#SOX 麥克貝瑞近日透過 CNBC 示警,半導體與權值股的拋物線漲勢已進入極端風險。 他指出 SOX 軌跡與 1999 年至 2000 年驚人吻合,建議減輕持股以因應潛在崩盤。即便大盤無視戰火頻創新高,他強調冷靜避開終將到來的大規模價格修正。 📍閱讀全文: https://abmedia.io/michael-burry-ai-dotcom-bubble 📍 訂閱鏈新聞頻道:https://linktr.ee/abmedia.io