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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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Futures <> DEX

@mexcTracker · Post #149148 · 04/17/2026, 01:22 PM

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Arbitrage with XCN ended 45s XCN | #XCN| 8.64% | Long 🟢💙👌 Origin: DEX (PUMP) [G: -0% VS D: 9%] Price Gate: 0.004916 Spot: 0.004921 Price Dexscreener: 0.005381 Chain:#ethereumDep✅W/d✅ CA:0xA2cd3D43c775978A96BdBf12d733D5A1ED94fb18 Gate DEX MC - $230.26M V1h - $33.74K V24h $43.98K $86.93K Liq - $1.36M Limit $28.02K - Fund 0.0100% - source // chat // me

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Futures <> DEX

@mexcTracker · Post #149147 · 04/17/2026, 01:22 PM

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Arbitrage with XCN ended 42s XCN | #XCN| 9.01% | Long 🟢💚👌 Origin: DEX (PUMP) [M: 0% VS D: 10%] Price MEXC: 0.004896 Spot: 0.0048873 Price Dexscreener: 0.005381 Chain:#ethereumDep✅W/d✅ CA:0xA2cd3D43c775978A96BdBf12d733D5A1ED94fb18 MEXC DEX MC - $230.26M V1h - $33.74K V24h $194.59K $86.93K Liq - $1.36M Limit $2.45K - Fund -0.0599% - source // chat // me

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