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Source channel @githubtrending · Post #14826 · Jun 12

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#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 #21822 · 03/24/2026, 04:06 PM

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News: #Ethiopia migration surges 18% in 2025 as economic hardship, smuggling shifts drive flows; Eastern Route turns deadliest on record Outgoing #migration from Ethiopia along the #Eastern Route rose sharply in 2025, with total tracked movements increasing by 18% to more than half a million, underscoring growing economic pressures and evolving smuggling dynamics, the International Organization for Migration (#IOM) said. Read more: https://addisstandard.com/?p=56046

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