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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 #65355 · 04/13/2026, 02:09 AM

🚀 JGBs Decline Amid Inflation Concerns Following U.S.-Iran Peace Talks Collapse Japanese Government Bonds (JGBs) experienced a decline as renewed inflation concerns emerged after the failure of peace talks between the United States and Iran. Wall Street Journal (Markets) posted on X that the breakdown in negotiations has heightened geopolitical tensions, contributing to market volatility. The unsuccessful talks have led to increased uncertainty in the global markets, with investors worried about potential disruptions in oil supply and subsequent inflationary pressures. This has prompted a sell-off in JGBs as investors seek safer assets. Analysts suggest that the geopolitical instability could lead to further fluctuations in bond markets, as traders adjust their portfolios in response to the evolving situation. The impact of these developments on the broader financial markets remains to be seen, with attention now focused on potential diplomatic efforts to resolve the tensions. #JGBs#InflationConcerns#USIranTalks#PeaceTalksCollapse#GeopoliticalTensions#MarketVolatility#OilSupply#BondMarkets#FinancialMarkets#Investors#MarketFluctuations