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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 #724 · 10/06/2022, 07:59 PM

Ferring pharmaceuticals A/S has opened its new home in Copenhagen. The site occupies a pivotal waterfront position alongside the Øresund crossing, just north of Copenhagen International Airport. Bordered by predominantly low-rise development, the building affords fantastic views towards Malmö and the Swedish coast – where the company was founded. “We worked with Ferring to develop an in-depth understanding of the way they work. Through observations and targeted interviews, we gained valuable insight into the processes involved in the development of their drugs. In turn, we have designed a building that responds to the company’s specific needs and brings the range of Ferring’s activities under one roof.” Architecture by Foster&partners #arch_shovel#architecturelover#detail#archidaily