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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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@nongoodpic · Post #80 · 05/13/2023, 08:02 AM

本频道索引 各类胶卷 #Aerocolor2460 #EXR5298 #EURO100 #FomapanR100 #Kodak5201 #Kodak5203 #Kodak5213 #Kodak5219 #Kodak5222 #Kodak5294 … 各类扫描仪 #SP3000 #HS1800 #5000ED #4000ED #X5 … 数码相机 #SONY_DSLR_A100 #CCD … (用到啥就往里面加啥) (说的就是你)

Libertà è ragione

@libertaeragione · Post #3905 · 07/24/2023, 02:39 PM

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