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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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MDC Uzbekistan

@mdcuzbekistan · Post #651 · 02/04/2023, 03:47 PM

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.NET loyihalari, windows server, domain integratsiya Oramizdagi barcha .NET ahli qanday qilib api yozishni biladilar. Yoki umuman bir loyihani "loyiha" qilishni uddalaydilar. Ammo u bitganidan so'ng uni serverga qo'yish haligacha muammo bo'lib kelmoqda. Keling, ushbu muammoni yengilgina hal qilishni o'rganamiz. Yani windows server va domain sotib olib, ularni loyihamiz bilan integratsiya qilamiz. Aytgancha, SSL muammolari ham bor. Barchasini bitta qilib, bir darsda namoyish qilishga harakat qilamiz. Bu safargi speaker - kamina, Muhammadkarim. Barchangizni ushbu mahorat darsida kutib qolamiz. Kirsangiz xursand bo'lamiz, kirmasangiz hafa bo'lish yo'q ) Sana: 5-fevral, 20:00 Havola: Zoom Speaker: Muhammadkarim To'xtaboyev #iis#windowsserver#domain#hosting .NET Uzbekistan Community ➖➖➖➖➖➖➖➖➖➖ Telegram | Instagram | Youtube

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