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Source channel @githubtrending · Post #14826 · Jun 12

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#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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Host Testing and evaluation

@HostEvaluate · Post #811 · 08/11/2022, 04:45 AM

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#SYM#TW Host Provider: SYM Specification: 1vCore | 1G RAM | 20G SSD | 20TB @ 300Mbps down; 100Mbps up | $ 18 / Mo (Promo code: 88-10-300M) 感谢商家提供的测试机。hinet vps, 月 50% SLA 保障。PayPal 和支付宝老用户审核才可使用。要实名. 更多折扣码 https://paste.red/p/0ead2349a779

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Host Testing and evaluation

@HostEvaluate · Post #746 · 01/25/2022, 03:45 PM

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#TW#SYM Host Provider: SYM Location: Kaohsiung, Taiwan Specification: 1vCore | 1G RAM | 30G Storage | Unlimited @ 100M up, 300M down | $15 / Month Test IP: Contact @wartw https://paste.ubuntu.com/p/xft3b5ypTm/ 硬盘应该是 HDD

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