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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 #4042 · 01/31/2025, 10:00 PM

Grayscale Launches Dogecoin Trust 🚀 Grayscale Investments has launched the Grayscale Dogecoin Trust, redefining DOGE from a meme to an investment asset. The trust aims to offer accredited investors direct exposure to DOGE, highlighting its accessibility, low cost, and quick transactions. Grayscale's initiative underscores DOGE's role in promoting financial accessibility, as noted by Rayhaneh Sharif-Askary. While regulatory approval for secondary market trading is pending, the outlook for crypto ETFs remains positive following recent approvals. The DOGE Trust could potentially convert into an ETF in the future, aligning with the SEC's evolving view on cryptocurrencies. Notably, Bitwise Investment Advisers has proposed a Dogecoin ETF. 📈 #Grayscale#Dogecoin#Crypto#ETF#Finance#Investment#SEC#Regulation#AssetManagement#Bitwise#Inclusion#FinancialAccessibility#Meme#Blockchain#Trends#Markets#Innovation#DigitalAssets#SpotETFs#InvestmentTrusts