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Source channel @githubtrending · Post #14826 · Jun 12

#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

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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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