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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 #64902 · 04/10/2026, 08:17 AM

🚀 TON Declines Over 24% Year-to-Date Despite Wallet Accumulation and Network Upgrade TON has experienced a decline of over 24% since the beginning of the year. According to NS3.AI, despite this downturn, the top 100 wallets have accumulated an additional 189,730 TON in the past three months. This week, TON implemented the Catchain 2.0 upgrade, which has reduced confirmation times to less than one second for Telegram mini-apps, payments, and high-frequency activities. The network's seven-phase roadmap includes plans for future fee reductions. #TON#cryptocurrency#blockchain#wallets#networkupgrade#Catchain2#Telegram#cryptoaccumulation#feereduction#highfrequencytransactions