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Source channel @githubtrending · Post #14993 · Jul 24

#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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Embassy of Russia in Brunei

@rusembbrunei · Post #233 · 10/23/2024, 05:22 AM

The Ambassador of the Russian Federation🇷🇺 to the State of #Brunei Darussalam🇧🇳, Mikhail Baranov, met with students who are members of the Historical Club at the University of Brunei Darussalam (#UBD). In a warm and friendly atmosphere, the participants discussed various topics related to Russian history, our country's culture, as well as the current state of international relations. ---- Посол Российской Федерации🇷🇺 в Государстве #Бруней-Даруссалам🇧🇳 Михаил Владимирович Баранов встретился со студентами - членами Исторического клуба Университета Бруней-Даруссалам (#UBD). В теплой дружеской атмосфере участники встречи обсуждали различные темы, связанные с историей России, культурой нашей страны, а также текущей ситуации в международных отношениях. #РоссияБруней