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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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NIDO Russia (НИДО)

@nido_russia · Post #1666 · 06/26/2024, 06:31 PM

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💍The #Ministry of #Finance proposed to increase the state duty for divorce from 650₽ to 5,000₽ (by almost 8 times) 📛 For state registration of a name change, including the issuance of a name change certificate - from 1,600 rubles. up to 5000 rubles. 🧑‍🎓For the issuance of a certificate, certificate or other document confirming the level of qualification, or its duplicate due to loss, the fee will rise from 1300 rubles. up to 2000 rub. 👮 For consideration of a petition provided for by antimonopoly legislation - from 35 thousand rubles. up to 400 thousand rubles. 🚔 For consideration of an application provided for by the legislation on natural monopolies - from 16 thousand rubles. up to 50 thousand rubles. Subscribe: @nido_russia https://t.me/nido_russia/1666 #stateduties#госпошлина#fees#tax#fines

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