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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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郭子健Daniel Kwok Tsz Kin

@tsingyidan · Post #1175 · 04/11/2025, 06:52 AM

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We successfully hosted the Citizenship and Settlement Seminar in Glasgow and Edinburgh this April — supporting Hongkongers on their journey to ILR and UK citizenship. This seminar was co-organised by The Hong Kong Scots CIC, Hong Kong Professionals CIC, ACRHK, and Glasgow Hong Kong Christian Church, with funding from COSLA (Convention of Scottish Local Authorities) under the BN(O) Integration Support Service. Special thanks to Henry Wong, solicitor qualified in both Hong Kong and England & Wales, for leading two in-depth legal workshops tailored for the community. We are deeply grateful to Corstorphine Community Church for their long-standing support and for kindly hosting our Edinburgh session. Full income & expenditure report (in English):https://www.patreon.com/posts/citizenship-and-126410655 #BNO#ILR#HongKongInScotland#CommunitySupport

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