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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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EKOLOG.UZ| ENG

@ekologuzenglish · Post #11754 · 02/28/2026, 04:59 AM

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📍 Road from Surum to Tashaul 📅 Video recorded on February 26 The village of Surum (Sur-um) is located in Tashkent Region, bordering the Sergeli and Yangihayot districts of Tashkent (about 9 km from the center of Sergeli). The video shows thick dust from operating crushers. According to local residents, this situation has been ongoing for a long time. Residents complain about: ▪️ constant loud noise; ▪️ dense dust in the air; ▪️ difficulty breathing and worsening living conditions. The community asks authorities to pay attention to the environmental situation and take measures to reduce dust and noise levels. ❗️ The situation requires inspection by responsible agencies and an assessment of its impact on the environment and public health. #Environment#TashkentRegion#Dust#Noise#EnvironmentalIssue ☘️ Follow the latest environmental news on @ekologuz. Send your suggestions and feedback via @eklguz_bot!

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