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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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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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