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Source channel @githubtrending · Post #14993 · Jul 24

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#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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Teach For Uzbekistan | Official

@teachforuzbekistan · Post #308 · 11/12/2025, 01:31 PM

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😎 Qashqadaryo viloyati Ko‘kdala tumanidagi 4-maktab o‘quvchilari o‘zlarining sevimli Tabiiy fan o‘qituvchisi — Zuxriddin Maxramov haqida iliq fikrlarini bildirishdi. 💬 Ustozlariga bo‘lgan hurmat va minnatdorchilik so‘zlari ularning ko‘zidagi samimiyat va faxrda yaqqol seziladi. 🟡🟡🟡 😎 Students of School No. 4 in Kukdala district, Kashkadarya region, shared their heartfelt thoughts about their beloved Natural Science teacher — Zukhriddin Makhramov. 💬 Words of respect and gratitude toward their teacher could be clearly felt in their sincere smiles and eyes full of pride. #TeachForUzbekistan#Qashqadaryo#FellowStory#Oqituvchi#Ilhom#EducationForAll 📱Instagram🕊Telegram🔹Linkedin📱Facebook📺YouTube🌍Veb sayt

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