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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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@rushousebrussels · Post #2085 · 08/27/2024, 01:19 PM

🔊Sound on ☕ please, repeat Привет! Tired of learning Russian? Great news for you today then: we have thousands of words that are similar to English ones! Let’s start with those relating to food! Notice that the pronunciation is not always similar, so watch out for those accents! Still, learning Russian versions of the words you already know is far easier than learning absolutely new ones 🙂 That’s not the end of the list! Do you have any more examples? Drop them down in the comments! 👇🏼 Credits: Westend61, Aleksandr Kuzmin, Martin Barraud, serggn, Chris Stein, Halfdark/Getty Images Sourse: Russia Beyond https://t.me/russiabeyond/8927 #russianclasses#russianbeyond#РусскийДом#RussianHouse#Образование#КРЯ#brussels#belgium#educationrussia#RussianHouseBrussels#russianlanguagecoursesbrussels#russianlanguage#learnrussian#studyrussian