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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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Venture Village Wall 🦄

@venturevillagewall · Post #3757 · 12/31/2024, 04:00 AM

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2025 Crypto Outlook Highlights Regulatory Impact Franklin Templeton forecasts a favorable regulatory environment led by US regulators like the SEC, supporting more crypto ETFs and tokenized securities. This trend is expected to reposition the US as a global hub for cryptocurrency innovation. Additionally, in noteworthy transactions: 58 million #XLM was transferred between unknown wallets, and CleanSpark withdrew 3,158 Bitcoins from Coinbase, totaling $293.39M. Former CFTC Chairman Chris Giancarlo praised Bitcoin as 'digital gold'. Read more hereTransaction detailsCleanSpark details #Crypto#US#ETFs#Regulation#Bitcoin#DigitalGold#Innovation#Blockchain#CFTC#XLM#WhaleAlert#CleanSpark#Mining#TokenizedSecurities#Finance#Investment#MarketTrends#2025Outlook#DigitalAssets#CryptoNews