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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 #21510 · 02/24/2026, 09:10 AM

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News: #NAMA, #ADPM welcome House of Federation decision to hold elections in five districts outside #Tigray oversight The National Movement of #Amhara (NAMA) and the Amhara Democratic Force Movement (ADPM) have welcomed a recent decision by the House of #Federation to conduct elections in five districts outside the oversight of the Tigray regional authorities, pending the resolution of their constitutional status. In separate statements issued following emergency executive meetings, both organisations said the decision provides a legal response to long-standing questions of political participation and identity in the “contested” electoral districts, while also raising concerns about its implementation. NAMA said it respects the decision, which followed communication between the House of Federation and #NEBE, & described it as consistent with the spirit of the Pretoria Agreement. For its part, ADPM described the House’s move as “the beginning of historical.... Read more: https://addisstandard.com/?p=55369

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