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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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Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #1039 · 07/29/2025, 03:28 PM

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A multidisciplinary team of XISUI Design has created a 3D concrete-printed playground in Shandong Province, China. Named Boulder Park, a 13,000-square-metre community park in Ji’nan, combines massive boulders - a natural material symbolizing eternity - as the core design element. These boulders complement the park’s experiential and practical offerings. Stones in the shallow creek can be incorporated into the water play installation, and boulders set over a sandpit can be used as climbing and resting play structures. Additionally, cutting-edge 3D-printed concrete technology is used to build a huge rock cave adventure area. Images 1-2-3-4-5 📸 Zhou Sheng. Image 6 📸 Hu Yihao. #design#playgrounddesign#park#urban#3dprinting#3dprintingconcrete#china

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