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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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@githubtrending · Post #15140 · 09/13/2025, 11:30 AM

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#java#android#dalvik#kotlin#patches#revanced#reverse_engineering ReVanced Patches let you customize Android apps by adding new features, blocking ads, changing how apps look, and more. You can remove annoying ads, personalize app themes, enable background playback, and unlock extra controls. Using tools like ReVanced Manager, you can easily apply these patches without technical hassle. This means you get a cleaner, more enjoyable app experience, especially for apps like YouTube, without paying for premium versions. It also supports ongoing updates and a community that keeps improving it, so your apps stay fresh and tailored to your needs. https://github.com/ReVanced/revanced-patches

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