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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 #64591 · 04/09/2026, 09:34 AM

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🚀 Minority Investors Express Concerns Over Estée Lauder's Acquisition Plan for Puig Minority investors are expressing skepticism about the Estée Lauder founding family's proposal to acquire Puig. Wall Street Journal (Markets) posted on X, highlighting that despite these concerns, the founding family may still proceed with the acquisition. The plan involves significant financial commitments, which has led to apprehension among minority stakeholders. However, the influence of the founding family could potentially override these doubts, allowing the acquisition to move forward. The outcome of this situation remains uncertain as discussions continue. #EstéeLauder#Puig#Acquisition#MinorityInvestors#FinancialMarkets#MergersAndAcquisitions#WallStreet

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