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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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Addis Standard

@addisstandardeng · Post #21946 · 04/06/2026, 06:58 AM

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#Ethiopia aid worker tells of daily struggle to find water in land littered with cow skulls A #Scottish aid worker who recently visited Ethiopia has told of the harrowing daily struggles people face there to get safe water. Ben Wilson of the Scottish Catholic International Aid Fund (#SCIAF), who visited the #African nation last June, told of landscapes devastated by drought and littered with the skulls of dead cattle. It comes as the charity’s annual Wee Box appeal this Easter focuses on water, with Scots urged to give generously to fund taps and wells in some of the world’s poorest nations. SCIAF is also urging Keir Starmer to reverse his controversial move to slash international aid to 0.3 per cent of national income - the lowest level since 1999 - in order to boost defence spending. Ben told the Sunday Mail: “Water poverty is still such a huge problem around the world, with hundreds of millions of people......... https://www.dailyrecord.co.uk/news/scottish-news/ethiopia-aid-worker-tells-daily-36969445

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