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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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Coin Sonar

@CoinSonar · Post #243681 · 04/17/2026, 01:29 PM

#SOL | Volume spike (BTC PAIR) 70 times the average volume 8.431 BTC traded in 1 min └Selling vol: 5.858 BTC 🔴 Boost score: 1/10 24h Vol: 172.656 BTC (Binance) Price: 0.0011659 (-2.1% in 24h)

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Coin Sonar

@CoinSonar · Post #243680 · 04/17/2026, 01:29 PM

#SOL | Volume spike (USDT PAIR) 59 times the average volume 10.41M USDT traded in 1 min └Buying vol: 7.71M USDT 🟢 Boost score: 5/10 24h Vol: 250.59M USDT (Binance) Price: 89.52 (-3.6% in 24h)

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Coin Sonar

@CoinSonar · Post #243284 · 04/16/2026, 07:08 PM

#SOL | Volume spike (BTC PAIR) 188 times the average volume 22.542 BTC traded in 1 min └Selling vol: 19.917 BTC 🔴 Boost score: 1/10 24h Vol: 172.656 BTC (Binance) Price: 0.0011880 (-2.1% in 24h)

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