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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 #65113 · 04/11/2026, 03:14 AM

🚀 Crypto Futures Experience $103 Million in Liquidations Over 24 Hours Crypto futures markets have experienced significant activity, with approximately $103 million in liquidations occurring in the past 24 hours. According to NS3.AI, this development highlights the ongoing volatility within the cryptocurrency sector. The liquidations reflect the dynamic nature of crypto trading, where rapid price movements can lead to substantial financial impacts for traders. This event underscores the importance of risk management strategies in navigating the unpredictable crypto landscape. #CryptoFutures#Liquidations#CryptoVolatility#Cryptocurrency#RiskManagement#CryptoTrading#NS3AI