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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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💃🌍У танцевальной группы «Цветы Урала» (школа № 10, Екатеринбург) в репертуаре есть «Танец рудокопов Южно-Африканской Республики» — см. видео! 🎥✨ #Культура#Танцы#Екатеринбург#ЮАР#ЦветыУрала _________________________ 💃🌍 The Urals Flowers dance group (School No. 10, Yekaterinburg) performs the Dance of South African Miners — see the video! 🎥✨ #Culture#Dancing#Yekaterinburg#SouthAfrica

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@BarykinaLiubov · Post #1217 · 08/20/2024, 07:07 PM

𝙈𝙖𝙨𝙩𝙚𝙧 𝘾𝙡𝙖𝙨𝙨 𝙤𝙛 𝙖𝙣 𝙞𝙣𝙩𝙚𝙧𝙣𝙖𝙩𝙞𝙤𝙣𝙖𝙡 𝙋𝙧o𝙟𝙚𝙘𝙩 🖤 #ArtInSport 𝘕𝘰𝘷𝘰𝘬𝘶𝘻𝘯𝘦𝘵𝘴𝘬 𝘙𝘶𝘴𝘴𝘪𝘢 16.8.24 #LiubovBarykina #InternationalProject #RhythmicGymnastics #dancing #painting

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