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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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@zulayhoakramova · Post #2695 · 02/28/2024, 05:10 PM
Президент Шавкат Мирзиёев техник жиҳатдан тартибга солиш тизимини ислоҳ қилиш бўйича таклифлар тақдимоти билан танишди. — Президент Шавкат Мирзиёев ознакомился с презентацией предложений по совершенствованию системы технического регулирования. #Mirziyoyev#taqdimot#standartlashtirish#agentlik Prezident.uz|Facebook|Instagram|YouTube|X
@dkattakhanova · Post #2918 · 07/30/2022, 06:58 PM
#Hafta_dayjesti#agentlik#jamoa 📃 Hafta boshidan 3 nafar iqtidorli va ijtimoiy himoyaga muxtoj talabaning nufuzli xorijiy OTM larda oʻqishi bilan bog’liq jami 60,5 millon so’mlik shartnoma mablag’i; ✈️ Bundan tashqari, 2 nafar iste’dodli yoshlarning 🇰🇷 Janubiy Koreya va 🇦🇪Birlashgan Arab Amirliklarida amaliyot o’tashi va nufuzli tanlovlarda ishtirok etishi bilan bog’liq 44 million so’mlik harajatlari; ♟4 nafar iste’dodli yosh shaxmatchilarimizning Jahon chempionatida ishtiroki bilan bog’liq jami 84,7 million so’mlik harajati qoplab berildi. 🇺🇿Bu shu haftaning o’zida iste’dodli yoshlarni qo’llab-quvvatlashga kiritilgan sarmoya. Yaqin kelajakda ushbu sarmoya o’zini albatta oqlaydi. @dkattakhanova👈🏻
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