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Source channel @githubtrending · Post #14993 · Jul 24
#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch
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@CoinSonar · Post #243831 · 04/17/2026, 08:04 PM
#SXT | Volume spike (USDT PAIR) 91 times the average volume 108.13K USDT traded in 5 min └Buying vol: 85.57K USDT 🟢 Boost score: 7/10 24h Vol: 340.45K USDT (Binance) Price: 0.0185 (-1.8% in 24h)
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@CoinSonar · Post #243732 · 04/17/2026, 03:11 PM
#SXT | Volume spike (USDT PAIR) 36 times the average volume 128.56K USDT traded in 15 min └Buying vol: 99.41K USDT 🟢 Boost score: 6/10 24h Vol: 340.45K USDT (Binance) Price: 0.0177 (-1.8% in 24h)
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@binancefuturesignal · Post #35590 · 01/22/2026, 10:04 PM
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@cryptoarsenal · Post #63221 · 04/17/2026, 08:06 PM
🎰#SXT activity 🤔 466K USDT in 4 min (10%) on Binance Futures P: 0,01899 ⬆️ (6,03%) Vol 24h: 5,13M USDT Last 5 h ago #CEXTrack
@cryptoarsenal · Post #63220 · 04/17/2026, 08:05 PM
🎰#SXT buying 🔫 218K USDT in 5 min (11%) on Binance P: 0,01874 ⬆️ (5,28%) Vol 24h: 2,19M USDT Last 5 h ago #CEXTrack
@cryptoarsenal · Post #63192 · 04/17/2026, 03:12 PM
🎰#SXT buying 🔫 135K USDT in 6 min (11%) on Binance P: 0,0178 ⬆️ (4,71%) Vol 24h: 1,34M USDT Last 8 d ago #CEXTrack
@binancefuturesignal · Post #35593 · 01/23/2026, 01:52 AM
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@airdropcomic · Post #1971 · 05/07/2025, 05:11 PM
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