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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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MND Singapore

@mndsingapore · Post #362 · 07/29/2022, 11:01 AM

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In just 2 days, the Centre for Liveable Cities (CLC) and the Urban Redevelopment Authority (URA) will jointly organise our flagship event of the year – World Cities Summit (WCS) 2022! The Summit will return to an in-person conference format this year, and will convene government and industry leaders, and leading experts from around the world to address liveable and sustainable city challenges, share integrated urban solutions and forge new partnerships. Over the course of 4 days, WCS delegates will engage with this year’s theme - “Liveable and Sustainable Cities: Emerging Stronger” – through a series of discussions on how cities need to remain liveable, sustainable, and more resilient, in these times of prolonged and unpredictable disruptions, such as pandemics and climate change! For more information, visit https://worldcitiessummit.com.sg #worldcitiessummit#sustainablecities#liveablecities#resilientcities#innovation#cities#smartcities#wcsyl#clcsg

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