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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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📰 Info_Dota2

@Info_Dota2 · Post #36588 · 03/04/2025, 06:33 PM

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🟢¡VUELVEN A JUGAR JUNTOS! 🤯🔥 -A través de un comunicado oficial en sus redes sociales, la organización de 🇨🇳Xtreme Gaming anunció el regreso de 🇨🇳Ame, 🇨🇳XinQ, 🇨🇳Xxs y 🇨🇳Xiao8 a su roster principal de Dota 2 para los siguientes torneos 😮 🔹El roster principal de Xtreme quedaría de la siguiente manera; 1. 🇨🇳Ame 2. 🇨🇳Xm 3. 🇨🇳Xxs 4. 🇨🇳XinQ 5. 🇨🇳Undyne Coach: 🇨🇳Xiao8 🔸Como consecuencia de este drástico cambio de roster, Xtreme no podrá participar de la 🏆ESL One Raleigh. En su lugar, está invitado el equipo de NTS y Bach"🇨🇳TideBound" 🤠 Este nuevo Xtreme Gaming hará su debut en la 🏆PGL Wallachia 3 que inicia la próxima semana 😉 #esports#dota2#Xtreme @Info_Dota2

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