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Source channel @githubtrending · Post #14993 · Jul 24

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#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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Coin Sonar

@CoinSonar · Post #243773 · 04/17/2026, 04:45 PM

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#NIL | Volume spike (USDT PAIR) 250 times the average volume 95.97K USDT traded in 1 min └Buying vol: 60.81K USDT 🟢 Boost score: 6/10 24h Vol: 551.27K USDT (Binance) Price: 0.0409 (-3.4% in 24h)

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Coin Sonar

@CoinSonar · Post #243327 · 04/16/2026, 09:24 PM

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#NIL | Volume spike (USDT PAIR) 55 times the average volume 107.13K USDT traded in 5 min └Selling vol: 60.44K USDT 🔴 Boost score: 1/10 24h Vol: 551.27K USDT (Binance) Price: 0.0395 (-3.4% in 24h)

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Crypto Angels

@cryptoangelsusa · Post #22175 · 12/28/2025, 08:16 AM

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Binance Futures, BingX Futures, Bitget Futures, BloFin Futures #NIL/USDT All take-profit targets achieved 😎 Profit: 186.9782% 📈 Period: 17 Hours 11 Minutes ⏰

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