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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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Venture Village Wall 🦄

@venturevillagewall · Post #3974 · 01/24/2025, 07:00 PM

Big Moves in Crypto Regulation News 🚀 US Senator Cynthia Lummis, a vocal Bitcoin advocate, elected Chair of the Senate Digital Assets Committee. Proposed strategic Bitcoin reserve hints at potential significant moves for Bitcoin. Meanwhile, Trump's recent crypto executive order suggests a reserve of 'seized digital assets,' increasing speculation around Bitcoin's future. 🔗 For further details, read the article here. 🔗 In additional news, the SEC has opened the door for Wall Street banks to hold crypto. 🔗 Standard Chartered forecasts Bitcoin could reach $200,000 by the end of 2025. 🔗 Japan's Central Bank raised interest rates to a 17-year high, now at 0.5%, causing ripples across markets, including crypto. #Crypto#Bitcoin#US#Regulations#SEC#InterestRates#Japan#Senate#DigitalAssets#Investment#FinancialMarkets#WallStreet#Speculation#CynthiaLummis#CryptoBanks#PanteraCapital#StandardChartered#Ethereum#AI#VC