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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 #65420 · 04/13/2026, 06:35 AM

🚀 Future Market to Be Dominated by Compliant Multi-Jurisdiction CEX and Native On-Chain DEX The future of the market is expected to be shaped by compliant multi-jurisdiction centralized exchanges (CEX) and native on-chain decentralized exchanges (DEX), with both playing complementary roles. According to PANews, these two types of exchanges will lead the way in the evolving landscape, each offering distinct functionalities that cater to different needs within the financial ecosystem. The compliant multi-jurisdiction CEX will provide regulated environments for trading, ensuring adherence to legal standards across various regions. Meanwhile, native on-chain DEX will offer decentralized platforms that prioritize transparency and user control, allowing for peer-to-peer transactions without intermediaries. Together, these exchanges will create a balanced market structure, leveraging their unique strengths to meet the diverse demands of users and investors. #FutureMarket#CompliantExchanges#MultiJurisdiction#CEX#OnChainDEX#DecentralizedExchanges#Transparency#UserControl#FinancialEcosystem#PeerToPeerTransactions#MarketStructure