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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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Baxtiyor Pulatov

@eco_pulatov · Post #1975 · 11/27/2025, 10:55 AM

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🇺🇿📘 O‘zbekistonning “Atrof-muhit o‘zgarishlari atlasi” nashr etildi! BMTning Atrof-muhit bo‘yicha dasturi — UNEP tomonidan O‘zbekiston bo‘yicha eng yirik ekologik atlas tayyorlandi. U 60 yillik tarixiy va sun’iy yo‘ldosh ma’lumotlariga asoslanib, yer va suv ekotizimlari, ekologik muammolar, SDG 6 va 15 maqsadlariga erishish holatini tahlil qiladi. 📥O‘zbekiston atlasini yuklab olish 📌 Mazkur loyiha doirasida Qirg‘iziston va Tojikiston uchun ham atlaslar yaratilgan: 🇰🇬Qirg‘iziston atlasi 🇹🇯Tojikiston atlasi 🌱 Bu atlaslar ekologik barqarorlik, tadqiqotlar va davlat darajasidagi qarorlar uchun eng muhim geoma’lumot bazasi hisoblanadi. #UNEP#EcologyAtlas#GIS#UZB#SDG#RemoteSensing

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