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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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New Uzbekistan University | Yangi O'zbekiston Universiteti | Янги Ўзбекистон Университети

@newuzbekistanuniversity · Post #2585 · 01/13/2024, 07:57 AM

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O‘zbekiston jamoasini muvaffaqiyatli g‘alaba bilan tabriklaymiz! 💥 “Techno Mind” jamoasi “Aquatibia” loyihasi bilan Tech4Good global finalida ishtirok etib, “Silver Award” (ikkinchi o'rin)ni qo‘lga kiritdi. 🏆 Shuningdek, “People's choice award” tanlovida ham O‘zbekiston jamoasi g'oliblar qatoridan o'rin egalladi. 💧Aquatibia – qishloq xo‘jaligi uchun raqamli texnologiyalardan foydalangan holda integratsiyalashgan suv filtrlash tizimini yaratish loyihasi hisoblanadi. 🎗Yoshlarimizdan kelajakda bundanda yuqori natijalarni kutib qolamiz! 🔁English ➖➖➖➖➖➖➖➖➖➖➖➖➖ #SeedsfortheFuture#Aquatibia#global_final#winners#Tech4Good#TechnoMind ⬇️ Biz ijtimoiy tarmoqlarda: Veb-sayt | Telegram | Instagram | Facebook

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