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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 #64629 · 04/09/2026, 12:04 PM

🚀 Tokenized Perpetual Swaps Reach $30.7 Billion in Weekly Volume Tokenized perpetual swaps linked to traditional assets have seen significant growth, reaching a weekly volume of $30.7 billion by the end of March, according to NS3.AI. This figure represents 1.72% of the total crypto derivatives market. The surge was primarily driven by commodities, with total weekly volume across these contracts peaking at $54.5 billion during the metals rally in February. #TokenizedSwaps#PerpetualSwaps#CryptoDerivatives#Commodities#MetalsRally#CryptoTrading#NS3AI#WeeklyVolume#FinancialMarkets#DigitalAssets