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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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Crypto M - Crypto News

@CryptoM · Post #64678 · 04/09/2026, 01:49 PM

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🚀 Morgan Stanley's Bitcoin Trust Launches with Strong Inflows on NYSE Arca Morgan Stanley's Bitcoin Trust (MSBT) made its debut on the NYSE Arca on Wednesday, attracting $30.6 million in first-day inflows and generating approximately $34 million in trading volume. According to NS3.AI, as of April 8, MSBT held 444.4 Bitcoin, valued at around $31.7 million, and offered the lowest fee among U.S. spot Bitcoin ETF competitors. This marks the first spot Bitcoin ETF launched by a U.S. bank. On the same day, BlackRock's IBIT led with $40 million in inflows. Data from Farside indicates that total net outflows across U.S. spot Bitcoin ETFs amounted to $124.5 million on Wednesday. #Bitcoin#ETF#MorganStanley#NYSEArca#Cryptocurrency#Finance#Investment#BlackRock#CryptoMarket#SpotBitcoin#BTC

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