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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 #65139 · 04/11/2026, 11:24 AM

🚀 Bitcoin Futures Open Interest Hits 14-Month Low Amid Institutional Strategy Shift On April 11, the open interest in Chicago Mercantile Exchange (CME) Bitcoin futures fell to $8.41 billion, marking its lowest level in 14 months. According to BlockBeats, Glassnode analysts attribute this decline primarily to the unwinding of basis trades. Previously, this strategy involved establishing long positions through spot ETFs and hedging with short futures to earn the spread. However, the annualized returns have recently dropped from 15%-20% to around 5%, prompting institutions to take profits. Additionally, the daily trading volume of CME Bitcoin futures has decreased to below $3 billion. Analysts suggest that as institutional demand shifts towards directly holding spot assets, the leverage in the futures market is significantly decreasing. #BitcoinFutures#OpenInterest#CME#BasisTrades#InstitutionalStrategy#SpotETFs#FuturesMarket#Leverage#TradingVolume#BlockBeats#Glassnode#CryptoMarket#BTC