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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 #65336 · 04/13/2026, 12:34 AM

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🚀 Bitcoin Faces Liquidity Challenges Amid Economic Indicators Bitcoin may face liquidity challenges, according to Delphi Digital's analysis. According to PANews, February's PCE data indicated a weakening in U.S. consumer spending even before the impact of the Iran conflict. Income levels have contracted, and real spending has shown almost no growth. Subsequently, March's CPI recorded a 3.3% increase, with energy accounting for three-quarters of the rise. The U.S. Leading Economic Index (LEI) is declining, typically leading real yields by about six months. The last occurrence of such a scenario was in 2022, when tight monetary policy coincided with an energy shock, resulting in Bitcoin's correlation with real yields turning deeply negative. #Bitcoin#LiquidityChallenges#EconomicIndicators#PCE#CPI#ConsumerSpending#USEconomy#LEI#RealYields#MonetaryPolicy#EnergyShock#BTC

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