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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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Marwa Osman/MidEaStream

@Marwa_OsmanLB · Post #4191 · 03/27/2025, 02:13 PM

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A new security scandal has hit the #Trump administration as media reports a major data breach exposing senior U.S. security officials’ information online. According to an investigation by the German magazine #DerSpiegel, phone numbers, email addresses, and even passwords belonging to top U.S. security officials were found online. Among those affected are National Security Advisor #MikeWaltz, Vice-President #JDVance, #CIA Director #JohnRatcliffe, White House chief of staff #SusieWiles, U.S. Intelligence Coordinator #TulsiGabbard, and Secretary of Defense #PeteHegseth. The group debated policy and discussed operational details about the impending US military strike on #Yemen – conversations that provided a rare near-real-time look at the inner workings of Trump's senior #nationalsecurity team.

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