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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 #21499 · 02/23/2026, 11:50 AM

#Eritrea refugees held, tortured in #Egypt: NGO More than 3,000 Eritrean refugees have been detained in Egypt this year and some have reported sexual violence and torture, a human rights #NGO said Monday. Eritrea, a Horn of Africa country of approximately 3.5 million inhabitants, has one of the most repressive governments in the world. Led since 1993 by President Isaias Afwerki, who has never held an election, its citizens face indefinite military service that leads many young men to flee the country. A report published by Human Rights Concern – Eritrea (#HRCE) said more than 3,000 refugees from the country have been arrested in Egypt since January 10. It collected testimonies and photographs to show that many had suffered "beatings and burns inflicted with hot water and corrosive substances", and sexual violence. Two young children have reportedly died...... https://web.facebook.com/AddisstandardEng/posts/pfbid0pAfsuDfZ61eDyhzJSPqWXwKYP48C31ng8pewvPg9ih1FgawXwh8bzCACYuaSq9aul?_rdc=1&_rdr