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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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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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