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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 #21048 · 01/12/2026, 02:51 PM

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#Ethiopia: Weeks after a disputed peace deal, #Amhara Regional Government says AFAHD vice chair Colonel Fentaw Muhaba joins peace process Weeks after a disputed peace agreement between the Amhara Regional Government and the Amhara #Fano People’s Organization (#AFAHD), the regional government announced that Colonel Fentaw Muhaba, Vice Chair and Military Commander-in-Chief of AFAHD, has entered the peace process along with his forces. In a statement, the regional government said Colonel Fentaw, who also commands AFAHD’s Wollo Province forces, accepted the peace alternative as part of the agreement reached through negotiations mediated by the African Union (#AU) & the Intergovernmental Authority on Development (#IGAD). Officials described his move as a step toward de-escalation and stabilizing the region. The announcement follows a controversial “peace agreement” reported on 4 December 2025, in which state media said the Amhara Regional Government had signed .... Read more: https://addisstandard.com/?p=54501

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