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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 #21657 · 03/09/2026, 02:45 PM

News: #Ethio_Telecom announces strategic network expansion agreements with #Ericsson, #ZTE, Huawei, Nokia at Barcelona Ethio Telecom announced that it has reached a series of strategic network expansion and modernization agreements with global technology partners Ericsson, ZTE, #Huawei, and #Nokia during the Mobile World Congress 2026 held in #Barcelona, #Spain. The telecom provider said its CEO #Frehiwot Tamru, together with a senior management delegation, held high-level strategic discussions with executives of the company’s key international technology partners and network equipment suppliers on the sidelines of the global industry event. As part of the engagements, Ethio Telecom and ZTE finalized a major network expansion and modernization agreement covering 647 network sites, including 115 rural sites. The company said the initiative will strengthen nationwide connectivity and expand digital inclusion across the country. Separately, Ethio Telecom ….. Read more: https://addisstandard.com/?p=55681