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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 #65272 · 04/12/2026, 01:10 PM

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🚀 Treasury Secretary Advocates for Clarity Act Amid Rising Stablecoin Transactions Treasury Secretary Scott Bessent has called on Congress to approve the Clarity Act, highlighting the growing significance of stablecoin transactions. According to NS3.AI, a report by Chainalysis projects that stablecoin transaction volume could escalate to $1.5 quadrillion by 2035, up from $28 trillion last year. The likelihood of the bill passing this year has increased, with Polymarket odds rising to nearly 70% from 50% earlier this week. Senate Banking Committee members are reportedly preparing to hold a hearing to vote on the bill before the month's end. #TreasurySecretary#ClarityAct#Stablecoin#StablecoinTransactions#ScottBessent#Congress#Chainalysis#Polymarket#SenateBankingCommittee#Blockchain#Cryptocurrency

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