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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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FXStreet Crypto News

@fxstreetcrypto · Post #53550 · 03/27/2026, 02:37 PM

🚨NASDAQ Tokenization is here. The SEC just approved NASDAQ’s move to 24/7 trading with T+0 settlement for major indices. It’s no longer a crypto experiment – this is institutional-grade, on-chain access to the US stock market. S&P Dow Jones Indices just licensed data for perpetual futures on Hyperliquid, bypassing traditional brokers. This isn’t niche. It’s the future of trading. Don't get left behind. 👇Watch the breakdown now: 🔗https://www.youtube.com/watch?v=qMNRqfVgqPE #NASDAQTokenization#CryptoFinance#Blockchain