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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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Crypto M - Crypto News

@CryptoM · Post #65379 · 04/13/2026, 03:19 AM

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🚀 Bank of Korea Nominee Advocates for CBDCs and Stablecoins in Digital Currency Ecosystem Shin Hyun-song, the nominee for the governor of the Bank of Korea, has emphasized the importance of Central Bank Digital Currencies (CBDCs) and commercial bank deposit tokens in shaping the digital currency ecosystem. According to NS3.AI, Shin expressed support for a stablecoin denominated in the domestic won, highlighting that maintaining trust in the currency is paramount. He also noted that stablecoins could facilitate the exchange of tokenized assets and coexist alongside deposit tokens. #BankofKorea#CBDC#Stablecoins#DigitalCurrency#ShinHyunSong#CentralBankDigitalCurrencies#CommercialBankTokens#TokenizedAssets#StablecoinWon#DigitalCurrencyEcosystem

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