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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 #64697 · 04/09/2026, 02:44 PM

🚀 Telegram's TON Blockchain Achieves Significant Speed Upgrade Telegram founder Pavel Durov announced a major upgrade to the TON blockchain, significantly enhancing its processing speed. According to Foresight News, the upgrade has increased block generation rates by six times and achieved sub-second transaction confirmations. Durov stated that this is the first of seven steps in his 'Make TON Great Again' (MTONGA) plan. The next step aims to reduce the already relatively low transaction fees by approximately six times to further improve network performance and cost competitiveness. #Telegram#TONBlockchain#PavelDurov#SpeedUpgrade#Blockchain#TransactionSpeed#MTONGA#ForesightNews#SubSecondConfirmations#TransactionFees#NetworkPerformance