#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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According to analysts, a BTC-ETF called #iShares Bitcoin Trust from #BlackRock has surpassed #GTC from Grayscale in terms of the number of coins at its core. Accordingly, it is now the largest #BTC spot exchange-traded fund in the United States.
Bloomberg analyst Eric Balchunas confirmed the leadership of the #BlackRock iShares Bitcoin Trust (BUT) among spot BTC ETFs. Recall that this exchange-traded fund bypassed Grayscale's GTC based on the trading results for the last day.
As Eric noted, BlackRock is likely to occupy the top spot "for decades." The reason is a combination of low fees, serious liquidity and the excellent reputation of the iShares brand.
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🚀 Bitcoin ETFs See Strong Inflows as Market Interest Grows
US spot Bitcoin ETFs experienced significant net inflows exceeding $786 million last week, marking their most robust performance since February. According to NS3.AI, BlackRock's iShares Bitcoin Trust attracted approximately $612 million. Meanwhile, Morgan Stanley's newly launched MSBT fund garnered around $46 million within its initial three trading days.
#Bitcoin#ETFs#BlackRock#MorganStanley#CryptoInvestment#MarketInterest#MSBT#iShares#Inflow#BTC