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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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Architectural Shovel / Любовь Дмитриева

@arch_shovel · Post #746 · 10/15/2022, 07:50 PM

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B U B B L E H O U S E / Cheng Dong. A coherent city / Sangu Design The Human Condition by Hannah Arendt says that world is like a table that brings people together and separates people from each other. People yearn to see each other in the city; they call for a new connection which is beyond age, experience, boundaries, it also can transcend personal loneliness and urban barriers. . When the architect design and construct from the perspective of the user, they therefore are willing to respect the vitality of the building and rationally make use of the existing rules and conditions to practice the possibility of the local urban lifestyle. #facade#elevation#interior#urbanplan#geometricarchitecture#glassfacade#interiordesign#composition#modulararchitecture#building#arch_shovel

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