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Source channel @githubtrending · Post #14826 · Jun 12
#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques
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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
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@cryptoarsenal · Post #63220 · 04/17/2026, 08:05 PM
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@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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