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Source channel @githubtrending · Post #14993 · Jul 24

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#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch

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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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