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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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📢 Yep.uz – Новости из Узбекистана

@yepuz · Post #11467 · 10/29/2025, 03:58 PM

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The Ukrainian project “I Want to Live” has published a list of Uzbek citizens killed or missing while fighting for Russia in its war against Ukraine. The team identified 481 individuals but says the real number is likely much higher. https://yep.uz/en/2025/10/uzbek-citizens-killed-missing-russia-war-ukraine/ #xochujit#uzbekistan#russia#ukrainewar#russianarmy#mercenaries#centralasia#migrants#uzbeks#casualties#investigation#warinukraine

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📢 Yep.uz – Новости из Узбекистана

@yepuz · Post #11466 · 10/29/2025, 02:35 PM

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Ukrainadagi “Xochu jit” loyihasi Rossiyaning Ukrainaga qarshi urushi davomida halok bo‘lgan yoki bedarak yo‘qolgan o‘zbekistonliklarning ro‘yxatini e’lon qildi. Loyihaga ko‘ra, 481 nafar shaxs aniqlangan, ammo haqiqiy raqam bundan ancha yuqori bo‘lishi mumkin. https://yep.uz/uz/2025/10/ozbekistonliklar-rossiya-armiyasida-halok-bolganlar-royxati/ #xochujit#urush#rossiyaarmiyasi#o‘zbekistonliklar #ukraina#jangchilar#markaziyosiyo#migrantlar#halokbo‘lganlar #tadqiqot#rossiyavaurush#o‘zbekiston

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